diff --git a/altk/pre_tool/toolguard/README.md b/altk/pre_tool/toolguard/README.md
index 307aff2..e24f558 100644
--- a/altk/pre_tool/toolguard/README.md
+++ b/altk/pre_tool/toolguard/README.md
@@ -1,14 +1,14 @@
 # ToolGuards for Enforcing Agentic Policy Adherence
-An agent lifecycle solution for enforcing business policy adherence in agentic workflows. Enabling this component has demonstrated up to a **20‑point improvement** in end‑to‑end agent accuracy when invoking tools. This work is described in [EMNLP 2025 Towards Enforcing Company Policy Adherence in Agentic Workflows](https://arxiv.org/pdf/2507.16459), and is publiched in [this GitHub library](https://github.com/AgentToolkit/toolguard).
+Enforces business policy adherence in agentic workflows. Enabling this component has demonstrated up to a **20‑point improvement** in end‑to‑end agent accuracy when invoking tools. This work is described in [EMNLP 2025 Towards Enforcing Company Policy Adherence in Agentic Workflows](https://arxiv.org/pdf/2507.16459), and is published in [this GitHub library](https://github.com/AgentToolkit/toolguard).
 
 ## Table of Contents
 - [Overview](#overview)
 - [ToolGuardSpecComponent](#ToolGuardSpecComponent)
-  - [Configuarion](#component-configuarion)
+  - [Configuration](#component-configuration)
   - [Inputs and Outputs](#input-and-output)
   - [Usage example](#usage-example)
 - [ToolGuardCodeComponent](#ToolGuardCodeComponent)
-  - [Configuarion](#component-configuarion-1)
+  - [Configuration](#component-configuration-1)
   - [Inputs and Outputs](#input-and-output-1)
   - [Usage example](#usage-example-1)
 
@@ -18,16 +18,21 @@ An agent lifecycle solution for enforcing business policy adherence in agentic w
 Business policies (or guidelines) are normally detailed in company documents, and have traditionally been hard-coded into automatic assistant platforms. Contemporary agentic approaches take the "best-effort" strategy, where the policies are appended to the agent's system prompt, an inherently non-deterministic approach, that does not scale effectively. Here we propose a deterministic, predictable and interpretable two-phase solution for agentic policy adherence at the tool-level: guards are executed prior to function invocation and raise alerts in case a tool-related policy deem violated.
 This component enforces **pre‑tool activation policy constraints**, ensuring that agent decisions comply with business rules **before** modifying system state. This prevents policy violations such as unauthorized tool calls or unsafe parameter values.
 
+### Installation
+```
+uv pip install "agent-lifecycle-toolkit[toolguard]"
+```
+
 ## ToolGuardSpecComponent
-This component gets a set of tools and a policy document and generated multiple ToolGuard specifications, known as `ToolGuardSpec`s. Each specification is attached to a tool, and it declares a precondition that must apply before invoking the tool. The specification has a `name`, `description`, list of `refernces` to the original policy document, a set of declerative `compliance_examples`, describing test cases that the toolGuard should allow the tool invocation, and `violation_examples`, where the toolGuard should raise an exception.
+This component gets a set of tools and a policy document and generates multiple ToolGuard specifications, known as `ToolGuardSpec`s. Each specification is attached to a tool, and it declares a precondition that must apply before invoking the tool. The specification has a `name`, `description`, list of `references` to the original policy document, a set of declarative `compliance_examples`, describing test cases that the toolGuard should allow the tool invocation, and `violation_examples`, where the toolGuard should raise an exception.
 
-This componenet supports only a `build` phase. The generate specifications are returned as output, and are also saved to a specified file system directory.
-The specifications are aimed to be used as input into our next component - the `ToolGuardCodeComponent` described below. 
+This component supports only a `build` phase. The generated specifications are returned as output, and are also saved to a specified file system directory.
+The specifications are aimed to be used as input into our next component - the `ToolGuardCodeComponent` described below.
 
-The two components are not concatenated by design. As the geneartion involves a non-deterministic language model, the results need to be reviewed by a human. Hence, the output specification files should be reviewed and optionaly edited. For example, removing a wrong compliance example.
+The two components are not concatenated by design. As the generation involves a non-deterministic language model, the results need to be reviewed by a human. Hence, the output specification files should be reviewed and optionally edited. For example, removing a wrong compliance example.
 
-### Component Configuarion
-This component expects an LLM client configuarion. Here is a concerete example using WatsonX SDK:
+### Component Configuration
+This component expects an LLM client configuration. Here is a concrete example using WatsonX SDK:
 ```python
 from altk.core.llm.providers.ibm_watsonx_ai.ibm_watsonx_ai import WatsonxLLMClient
 llm_client = WatsonxLLMClient(
@@ -43,7 +48,7 @@ llm_client = WatsonxLLMClient(
 The component build input is a `ToolGuardSpecBuildInput` object containing the following fields:
   * `policy_text: str`: Text of the policy document
   * `tools: List[Callable] | List[BaseTool] | str`: List of available tools. Either as Python functions, methods, Langgraph Tools, or a path to an Open API specification file.
-  * `out_dir: str`: A directory in the local file system where the specification objects will be saved. 
+  * `out_dir: str`: A directory in the local file system where the specification objects will be saved.
 
 The component build output is a list of `ToolGuardSpec`, as described above.
 
@@ -53,18 +58,18 @@ see [simple calculator test](../../../tests/pre_tool/toolguard/test_toolguard_sp
 
 ## ToolGuardCodeComponent
 
-This components enfoorces policy adherence through a two-phase process:
+This component enforces policy adherence through a two-phase process:
 
 (1) **Buildtime**: Given a set of `ToolGuardSpec`s, generates policy validation code - `ToolGuard`s.
 Similar to ToolGuard Specifications, generated `ToolGuards` are a good start, but they may contain errors. Hence, they should be also reviewed by a human.
 
-(2) **Runtime**: ToolGuards are deployed within the agent's flow, and are triggered before agent's tool invocation. They can be deployed into the agent loop, or in an MCP Gateway. 
-The ToolGuards checks if a planned action complies with the policy. If it violates, the agent is prompted to self-reflect and revise its plan before proceeding. 
+(2) **Runtime**: ToolGuards are deployed within the agent's flow, and are triggered before agent's tool invocation. They can be deployed into the agent loop, or in an MCP Gateway.
+The ToolGuards check if a planned action complies with the policy. If it violates, the agent is prompted to self-reflect and revise its plan before proceeding.
 
 
-### Component Configuarion
+### Component Configuration
 
-This component expects an LLM client configuarion. 
+This component expects an LLM client configuration.
 Here is an example using a Watsonx LLM client:
 ```
 from altk.core.llm.providers.ibm_watsonx_ai.ibm_watsonx_ai import WatsonxLLMClient
@@ -82,26 +87,27 @@ toolguard_code_component = ToolGuardCodeComponent(config)
 ### Input and Output
 The Component has two phases:
 #### Build phase
-An agent owner should use this API to generate ToolGuards - Python function that enforce the given business policy.
+An agent owner should use this API to generate ToolGuards - Python functions that enforce the given business policy.
 The input of the build phase is a `ToolGuardCodeBuildInput` object, containing:
   * `tools: List[Callable] | List[BaseTool] | str`: List of available tools. Either as Python functions, methods, Langgraph Tools, or a path to an Open API specification file.
-  * `toolguard_specs: List[ToolGuardSpec]`: List of specifications, optionaly generated by `ToolGuardSpecComponent` component and reviewed.
-  * `out_dir: str | Path`: A directory in the local file system where the ToolGuard objects will be saved. 
+  * `toolguard_specs: List[ToolGuardSpec]`: List of specifications, optionally generated by `ToolGuardSpecComponent` component and reviewed.
+  * `app_name: str`: Name of the application for which guards are being generated. This will be namespace of the guards generated code.
+  * `out_dir: str | Path`: A directory in the local file system where the ToolGuard objects will be saved.
 
 The output of the build phase is a `ToolGuardsCodeGenerationResult` object with:
   * `out_dir: Path`: Path to the file system where the results were saved. It is the same as the `input.out_dir`.
-  * `domain: RuntimeDomain`: A complex object descibing the generated APIs. For example, refernces to Python file names and class names.
-  * `tools: Dict[str, ToolGuardCodeResult]`: A Dictionary of the ToolGuardsResults, by the tool names. 
-    * Each `ToolGuardCodeResult` details the name of guard Python file name and the guard function name. It also reference to the generated unit test files.
+  * `domain: RuntimeDomain`: A complex object describing the generated APIs. For example, references to Python file names and class names.
+  * `tools: Dict[str, ToolGuardCodeResult]`: A Dictionary of the ToolGuardsResults, by the tool names.
+    * Each `ToolGuardCodeResult` details the name of guard Python file name and the guard function name. It also references the generated unit test files.
 
 #### Runtime phase
-A running agent should use the runtime API to check if a tool call complies with the given policy.
+A running agent should use the runtime async API to check if a tool call complies with the given policy.
 The input of the runtime phase is a `ToolGuardCodeRunInput` object:
   * `generated_guard_dir: str | Path`: Path in the local file system where the generated guard Python code (The code that was generated during the build time, described above) is located.
   * `tool_name: str`: The name of the tool that the agent is about to call
   * `tool_args: Dict[str, Any]`: A dictionary of the toolcall arguments, by the argument name.
   * `tool_invoker: IToolInvoker`: A proxy object that enables the guard to call other read-only tools. This is needed when the policy enforcement logic involves getting data from another tool. For example, before booking a flight, you need to check the flight status by calling the "get_flight_status" API.
-  The `IToolInvoker` interface contains a single method: 
+  The `IToolInvoker` interface contains a single method:
     ```
     def invoke(self, toolname: str, arguments: Dict[str, Any], return_type: Type[T]) -> T
     ```
@@ -110,10 +116,10 @@ The input of the runtime phase is a `ToolGuardCodeRunInput` object:
      * `toolguard.runtime.ToolFunctionsInvoker(funcs: List[Callable])` where the tools are defined as plain global Python functions.
      * `toolguard.runtime.ToolMethodsInvoker(obj: object)` where the tools are defined as methods in a given Python object.
      * `toolguard.runtime.LangchainToolInvoker(tools: List[BaseTool])` where the tools are a list of langchain tools.
-     
 
-The outpput of the runtime phase is a `ToolGuardCodeRunOutput` object with an optional `violation` field.
-  * `violation: PolicyViolation | None`: Polpulated only if a violation was identified. If the toolcall complies with the policy, the violation is None. 
+
+The output of the runtime phase is a `ToolGuardCodeRunOutput` object with an optional `violation` field.
+  * `violation: PolicyViolation | None`: Populated only if a violation was identified. If the toolcall complies with the policy, the violation is None.
     * `violation_level: "info" | "warn" | "error"`: Severity level of a safety violation.
     * `user_message: str | None`: A meaningful error message to the user (this message can be also passed to the agent reasoning phase to find an alternative next action).
 
diff --git a/altk/pre_tool/toolguard/tool_converter.py b/altk/pre_tool/toolguard/tool_converter.py
new file mode 100644
index 0000000..b08da71
--- /dev/null
+++ b/altk/pre_tool/toolguard/tool_converter.py
@@ -0,0 +1,40 @@
+"""Utility module for converting various tool formats to ToolGuard TOOLS type."""
+
+from typing import Callable, List, cast
+from langchain_core.tools import BaseTool
+from toolguard.buildtime import TOOLS
+from toolguard.buildtime.buildtime import OpenAPI
+from toolguard.extra.langchain_to_oas import langchain_tools_to_openapi
+
+
+def to_tools(tools: List[Callable] | List[BaseTool] | str) -> TOOLS:
+    """Convert various tool formats to the TOOLS type expected by ToolGuard.
+
+    Args:
+        tools: Either a string path to an OpenAPI specification file,
+            a list of callable functions, or a list of BaseTool instances.
+
+    Returns:
+        TOOLS: The converted tools in the format expected by ToolGuard.
+            This can be either a list of callables or an OpenAPI specification dict.
+
+    Raises:
+        ValueError: If the tools input is invalid or cannot be converted.
+            This includes invalid OpenAPI spec files, mixed tool types in lists,
+            or unsupported input types.
+    """
+    if isinstance(tools, str):
+        try:
+            return OpenAPI.load_from(tools).model_dump()
+        except Exception as e:
+            raise ValueError(f"Invalid OpenAPI spec file: {e}") from e
+
+    elif isinstance(tools, list):
+        if all(isinstance(tool, Callable) for tool in tools):
+            return cast(List[Callable], tools)
+        elif all(isinstance(tool, BaseTool) for tool in tools):
+            return langchain_tools_to_openapi(cast(List[BaseTool], tools))
+        else:
+            raise ValueError("Invalid tools list")
+
+    raise ValueError("Invalid tools input")
diff --git a/altk/pre_tool/toolguard/toolguard_code_component.py b/altk/pre_tool/toolguard/toolguard_code_component.py
index 98fb23e..76c4c43 100644
--- a/altk/pre_tool/toolguard/toolguard_code_component.py
+++ b/altk/pre_tool/toolguard/toolguard_code_component.py
@@ -1,31 +1,48 @@
 import logging
-from pathlib import Path
-from typing import Any, Callable, Dict, List, cast
 from enum import Enum
-from pydantic import BaseModel, Field
-from typing import Set
-from langchain_core.tools import BaseTool
+from pathlib import Path
+from typing import Any, Callable, Dict, List, Set, cast
 
-from altk.core.toolkit import ComponentConfig, ComponentInput, AgentPhase, ComponentBase
+from langchain_core.tools import BaseTool
+from pydantic import BaseModel, Field
 from toolguard.buildtime import (
-    generate_guards_from_specs,
-    ToolGuardSpec,
     ToolGuardsCodeGenerationResult,
+    ToolGuardSpec,
+    generate_guards_code,
 )
-from toolguard.runtime import IToolInvoker, load_toolguards, PolicyViolationException
+from toolguard.runtime import IToolInvoker, PolicyViolationException, load_toolguards
 
+from altk.core.toolkit import AgentPhase, ComponentBase, ComponentConfig, ComponentInput
 from altk.pre_tool.toolguard.llm_client import TG_LLMClient
+from altk.pre_tool.toolguard.tool_converter import to_tools
 
 logger = logging.getLogger(__name__)
 
 
 class ToolGuardCodeComponentConfig(ComponentConfig):
+    """Configuration for ToolGuardCodeComponent.
+
+    This component enforces policy adherence through code generation and runtime validation.
+    It requires an LLM client configuration for generating ToolGuard code from specifications.
+
+    Inherits all configuration from ComponentConfig, including llm_client settings.
+    """
+
     pass
 
 
 class ToolGuardCodeBuildInput(ComponentInput):
+    """Input configuration for building ToolGuard code generation.
+
+    :param tools: List of callable functions, BaseTool instances, or string path to OpenAPI spec
+    :param toolguard_specs: List of ToolGuard specifications to generate guards from. results from `toolguard_spec_component` component.
+    :param app_name: Name of the application for which guards are being generated. This will be namespace of the guards generated code.
+    :param out_dir: Output directory path where generated guard code will be saved
+    """
+
     tools: List[Callable] | List[BaseTool] | str
     toolguard_specs: List[ToolGuardSpec]
+    app_name: str
     out_dir: str | Path
 
 
@@ -33,6 +50,16 @@ class ToolGuardCodeBuildInput(ComponentInput):
 
 
 class ToolGuardCodeRunInput(ComponentInput):
+    """Input configuration for running ToolGuard code validation at runtime.
+
+    A running agent uses this input to check if a tool call complies with the given policy.
+
+    :param generated_guard_dir: Path in the local file system where the generated guard Python code (generated during build time) is located
+    :param tool_name: The name of the tool that the agent is about to call
+    :param tool_args: A dictionary of the tool call arguments, by the argument name
+    :param tool_invoker: A proxy object that enables the guard to call other read-only tools. This is needed when the policy enforcement logic involves getting data from another tool
+    """
+
     generated_guard_dir: str | Path
     tool_name: str = Field(description="Tool name")
     tool_args: Dict[str, Any] = Field(default={}, description="Tool arguments")
@@ -68,10 +95,29 @@ class PolicyViolation(BaseModel):
 
 
 class ToolGuardCodeRunOutput(BaseModel):
+    """Output from ToolGuard code validation at runtime.
+
+    Contains information about policy violations detected during tool call validation.
+    If the tool call complies with the policy, the violation field is None.
+
+    :param violation: Populated only if a violation was identified. Contains violation level and user message
+    """
+
     violation: PolicyViolation | None = None
 
 
 class ToolGuardCodeComponent(ComponentBase):
+    """Component for enforcing policy adherence through a two-phase process.
+
+    This component enforces policy adherence through code generation and runtime validation:
+
+    (1) **Buildtime**: Given a set of ToolGuardSpecs, generates policy validation code - ToolGuards.
+
+    (2) **Runtime**: ToolGuards are deployed within the agent's flow, and are triggered before
+        agent's tool invocation. They can be deployed into the agent loop, or in an MCP Gateway.
+        The ToolGuards check if a planned action complies with the policy.
+    """
+
     def __init__(self, config: ToolGuardCodeComponentConfig):
         super().__init__(config=config)
 
@@ -90,20 +136,26 @@ async def _abuild(
     ) -> ToolGuardsCodeGenerationResult:
         config = cast(ToolGuardCodeComponentConfig, self.config)
         llm = TG_LLMClient(config.llm_client)
-        return await generate_guards_from_specs(
-            tools=data.tools,
+        return await generate_guards_code(
+            tools=to_tools(data.tools),
             tool_specs=data.toolguard_specs,
             work_dir=data.out_dir,
             llm=llm,
+            app_name=data.app_name,
         )
 
     def _run(self, data: ToolGuardCodeRunInput) -> ToolGuardCodeRunOutput:
+        raise NotImplementedError("Please use the _arun() function in an async context")
+
+    async def _arun(self, data: ToolGuardCodeRunInput) -> ToolGuardCodeRunOutput:
         code_root_dir = data.generated_guard_dir
         tool_name = data.tool_name
         tool_params = data.tool_args
         with load_toolguards(code_root_dir) as toolguards:
             try:
-                toolguards.check_toolcall(tool_name, tool_params, data.tool_invoker)
+                await toolguards.guard_toolcall(
+                    tool_name, tool_params, data.tool_invoker
+                )
                 return ToolGuardCodeRunOutput()
             except PolicyViolationException as e:
                 return ToolGuardCodeRunOutput(
@@ -111,6 +163,3 @@ def _run(self, data: ToolGuardCodeRunInput) -> ToolGuardCodeRunOutput:
                         violation_level=ViolationLevel.ERROR, user_message=str(e)
                     )
                 )
-
-    def _arun(self, data: ToolGuardCodeRunInput) -> ToolGuardCodeRunOutput:
-        return self._run(data)
diff --git a/altk/pre_tool/toolguard/toolguard_spec_component.py b/altk/pre_tool/toolguard/toolguard_spec_component.py
index 3c0bf6e..028fad2 100644
--- a/altk/pre_tool/toolguard/toolguard_spec_component.py
+++ b/altk/pre_tool/toolguard/toolguard_spec_component.py
@@ -6,18 +6,37 @@
 from pydantic import Field
 
 from altk.pre_tool.toolguard.llm_client import TG_LLMClient
+from altk.pre_tool.toolguard.tool_converter import to_tools
 
-from ...core.toolkit import AgentPhase, ComponentBase, ComponentConfig, ComponentInput
+from altk.core.toolkit import AgentPhase, ComponentBase, ComponentConfig, ComponentInput
 from toolguard.buildtime import ToolGuardSpec, generate_guard_specs
 
 logger = logging.getLogger(__name__)
 
 
 class ToolGuardSpecComponentConfig(ComponentConfig):
+    """Configuration for ToolGuardSpecComponent.
+
+    This component generates ToolGuard specifications from policy documents and tool definitions.
+    It requires an LLM client configuration for analyzing policies and generating guard specifications.
+
+    Inherits all configuration from ComponentConfig, including llm_client settings.
+    """
+
     pass
 
 
 class ToolGuardSpecBuildInput(ComponentInput):
+    """Input data for building ToolGuard specifications.
+
+    Attributes:
+        policy_text: Text of the policy document file that defines the constraints
+            and rules for tool usage.
+        tools: List of callable functions, BaseTool instances, or a string path
+            to OpenAPI tool specification that will be analyzed against the policy.
+        out_dir: Output directory path where generated guard specifications will be saved.
+    """
+
     policy_text: str = Field(description="Text of the policy document file")
     tools: List[Callable] | List[BaseTool] | str
     out_dir: str | Path
@@ -27,6 +46,17 @@ class ToolGuardSpecBuildInput(ComponentInput):
 
 
 class ToolGuardSpecComponent(ComponentBase):
+    """Component for generating ToolGuard specifications from policy documents.
+
+    This component analyzes policy documents and tool definitions to generate
+    ToolGuard specifications that define constraints and validation rules.
+    It operates in the buildtime phase to create specifications that can later
+    be used to generate executable guard code.
+
+    The component uses an LLM to interpret policy text and map it to specific
+    tool parameters and constraints, producing structured ToolGuardSpec objects.
+    """
+
     def __init__(self, config: ToolGuardSpecComponentConfig):
         super().__init__(config=config)
 
@@ -45,7 +75,7 @@ async def _abuild(self, data: ToolGuardSpecBuildInput) -> ToolGuardSpecs:
         llm = TG_LLMClient(config.llm_client)
         return await generate_guard_specs(
             policy_text=data.policy_text,
-            tools=data.tools,
+            tools=to_tools(data.tools),
             work_dir=data.out_dir,
             llm=llm,
             short=True,
diff --git a/pyproject.toml b/pyproject.toml
index 0e50093..f8f3562 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -129,7 +129,7 @@ spotlight = [
 ]
 
 toolguard = [
-    "toolguard>=0.1.19"
+    "toolguard>=0.2.7",
 ]
 
 refraction = [
diff --git a/tests/pre_tool/toolguard/test_toolguard_code.py b/tests/pre_tool/toolguard/test_toolguard_code.py
index 9d8a133..40934f5 100644
--- a/tests/pre_tool/toolguard/test_toolguard_code.py
+++ b/tests/pre_tool/toolguard/test_toolguard_code.py
@@ -12,8 +12,9 @@
 from datetime import datetime
 import os
 from pathlib import Path
+import shutil
 from typing import Dict, cast
-
+import asyncio
 import dotenv
 import pytest
 
@@ -53,12 +54,12 @@
 def work_dir():
     """Creates a temporary folder for test output and cleans it afterward."""
     timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    dir_path = str(Path(__file__).parent / "outputs" / f"work_{timestamp}")
+    dir_path = Path(__file__).parent / "outputs" / f"work_{timestamp}"
     print("Temporary work dir created:", dir_path)
 
     yield dir_path
 
-    # shutil.rmtree(dir_path)
+    shutil.rmtree(dir_path)
     # print("Temporary work dir removed:", dir_path)
 
 
@@ -122,16 +123,14 @@ async def test_tool_guard_calculator_policy(work_dir: str):
     specs = [ToolGuardSpec.load(policy_dir / f"{tool.__name__}.json") for tool in funcs]
 
     # Prepare build input for guard code generation
-    input = ToolGuardCodeBuildInput(
-        tools=funcs,
-        out_dir=work_dir,
-        toolguard_specs=specs,
+    build_input = ToolGuardCodeBuildInput(
+        tools=funcs, out_dir=work_dir, toolguard_specs=specs, app_name="calc"
     )
 
     # Toolguarg code generation
     build_output = cast(
         ToolGuardsCodeGenerationResult,
-        await toolguard_code.aprocess(input, AgentPhase.BUILDTIME),
+        await toolguard_code.aprocess(build_input, AgentPhase.BUILDTIME),
     )
     # build_output = load_toolguard_code_result("tests/pre_tool/toolguard/outputs/work_XXX")
 
@@ -161,11 +160,11 @@ async def test_tool_guard_calculator_policy(work_dir: str):
 
     tool_invoker = ToolFunctionsInvoker(funcs)
 
-    def call(tool_name: str, args: Dict) -> ToolGuardCodeRunOutput:
+    async def call(tool_name: str, args: Dict) -> ToolGuardCodeRunOutput:
         """Executes a tool through its guard code."""
         return cast(
             ToolGuardCodeRunOutput,
-            toolguard_code.process(
+            await toolguard_code.aprocess(
                 ToolGuardCodeRunInput(
                     generated_guard_dir=build_output.out_dir,
                     tool_name=tool_name,
@@ -176,32 +175,34 @@ def call(tool_name: str, args: Dict) -> ToolGuardCodeRunOutput:
             ),
         )
 
-    def assert_complies(tool_name: str, args: Dict):
+    async def assert_complies(tool_name: str, args: Dict):
         """Asserts that no violation occurs."""
-        assert call(tool_name, args).violation is None
+        assert (await call(tool_name, args)).violation is None
 
-    def assert_violates(tool_name: str, args: Dict):
+    async def assert_violates(tool_name: str, args: Dict):
         """Asserts that a violation occurs with level ERROR."""
-        res = call(tool_name, args)
+        res = await call(tool_name, args)
         assert res.violation
         assert res.violation.violation_level == ViolationLevel.ERROR
         assert res.violation.user_message
 
-    # Valid input cases -----------------------------------------------------
-    assert_complies("divide_tool", {"g": 5, "h": 4})
-    assert_complies("add_tool", {"a": 5, "b": 4})
-    assert_complies("subtract_tool", {"a": 5, "b": 4})
-    assert_complies("multiply_tool", {"a": 5, "b": 4})
-    assert_complies("map_kdi_number", {"i": 5})
-
-    # Violation cases -------------------------------------------------------
-    assert_violates("divide_tool", {"g": 5, "h": 0})
-    assert_violates("add_tool", {"a": 5, "b": 73})
-    assert_violates("add_tool", {"a": 73, "b": 5})
-
-    # Violations for multiply_tool based on custom rules
-    assert_violates("multiply_tool", {"a": 2, "b": 73})
-    assert_violates("multiply_tool", {"a": 22, "b": 2})
+    await asyncio.gather(
+        *[
+            # Valid input cases -----------------------------------------------------
+            assert_complies("divide_tool", {"g": 5, "h": 4}),
+            assert_complies("add_tool", {"a": 5, "b": 4}),
+            assert_complies("subtract_tool", {"a": 5, "b": 4}),
+            assert_complies("multiply_tool", {"a": 5, "b": 4}),
+            assert_complies("map_kdi_number", {"i": 5}),
+            # Violation cases -------------------------------------------------------
+            assert_violates("divide_tool", {"g": 5, "h": 0}),
+            assert_violates("add_tool", {"a": 5, "b": 73}),
+            assert_violates("add_tool", {"a": 73, "b": 5}),
+            # Violations for multiply_tool based on custom rules
+            assert_violates("multiply_tool", {"a": 2, "b": 73}),
+            assert_violates("multiply_tool", {"a": 22, "b": 2}),
+        ]
+    )
 
 
 # ---------------------------------------------------------------------------
diff --git a/tests/pre_tool/toolguard/test_toolguard_specs.py b/tests/pre_tool/toolguard/test_toolguard_specs.py
index ceae389..5630ed3 100644
--- a/tests/pre_tool/toolguard/test_toolguard_specs.py
+++ b/tests/pre_tool/toolguard/test_toolguard_specs.py
@@ -36,7 +36,7 @@ def out_dir():
     Create a timestamped directory for test output, then delete it after the test.
     """
     timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    dir_path = str(Path(__file__).parent / "outputs" / f"work_{timestamp}")
+    dir_path = Path(__file__).parent / "outputs" / f"work_{timestamp}"
 
     print("Temporary work dir created:", dir_path)
     yield dir_path
diff --git a/uv.lock b/uv.lock
index 02a4597..c273822 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.14' and platform_machine == 'x86_64' and sys_platform == 'darwin'",
@@ -192,7 +192,7 @@ requires-dist = [
     { name = "sentence-transformers", marker = "extra == 'routing'", specifier = ">=5.0.0" },
     { name = "smolagents", specifier = ">=1.21.3" },
     { name = "tomli", specifier = "==2.2.1" },
-    { name = "toolguard", marker = "extra == 'toolguard'", specifier = ">=0.1.19" },
+    { name = "toolguard", marker = "extra == 'toolguard'", specifier = ">=0.2.7" },
     { name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin' and extra == 'spotlight'", specifier = "==2.2.2" },
     { name = "torch", marker = "(platform_machine != 'x86_64' and extra == 'spotlight') or (sys_platform != 'darwin' and extra == 'spotlight')", specifier = ">=2.5.1" },
     { name = "transformers", marker = "extra == 'spotlight'", specifier = ">=4.53.3" },
@@ -481,6 +481,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/2a/7cc015f5b9f5db42b7d48157e23356022889fc354a2813c15934b7cb5c0e/attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373", size = 67615, upload-time = "2025-10-06T13:54:43.17Z" },
 ]
 
+[[package]]
+name = "authlib"
+version = "1.6.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bb/9b/b1661026ff24bc641b76b78c5222d614776b0c085bcfdac9bd15a1cb4b35/authlib-1.6.6.tar.gz", hash = "sha256:45770e8e056d0f283451d9996fbb59b70d45722b45d854d58f32878d0a40c38e", size = 164894, upload-time = "2025-12-12T08:01:41.464Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/54/51/321e821856452f7386c4e9df866f196720b1ad0c5ea1623ea7399969ae3b/authlib-1.6.6-py2.py3-none-any.whl", hash = "sha256:7d9e9bc535c13974313a87f53e8430eb6ea3d1cf6ae4f6efcd793f2e949143fd", size = 244005, upload-time = "2025-12-12T08:01:40.209Z" },
+]
+
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -517,6 +529,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d6/50/56cf20e2ee5127b603b81d5a69580a1a325083e2b921aa8f067da83927c0/backports_strenum-1.3.1-py3-none-any.whl", hash = "sha256:cdcfe36dc897e2615dc793b7d3097f54d359918fc448754a517e6f23044ccf83", size = 8304, upload-time = "2023-12-09T14:36:39.905Z" },
 ]
 
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/72/cd9b395f25e290e633655a100af28cb253e4393396264a98bd5f5951d50f/backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991", size = 86406, upload-time = "2024-05-28T17:01:54.731Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b9/fa/123043af240e49752f1c4bd24da5053b6bd00cad78c2be53c0d1e8b975bc/backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34", size = 30181, upload-time = "2024-05-28T17:01:53.112Z" },
+]
+
 [[package]]
 name = "backrefs"
 version = "6.1"
@@ -601,6 +622,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e4/f8/972c96f5a2b6c4b3deca57009d93e946bbdbe2241dca9806d502f29dd3ee/bcrypt-5.0.0-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:6b8f520b61e8781efee73cba14e3e8c9556ccfb375623f4f97429544734545b4", size = 273375, upload-time = "2025-09-25T19:50:45.43Z" },
 ]
 
+[[package]]
+name = "beartype"
+version = "0.22.9"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/94/1009e248bbfbab11397abca7193bea6626806be9a327d399810d523a07cb/beartype-0.22.9.tar.gz", hash = "sha256:8f82b54aa723a2848a56008d18875f91c1db02c32ef6a62319a002e3e25a975f", size = 1608866, upload-time = "2025-12-13T06:50:30.72Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/cc/18245721fa7747065ab478316c7fea7c74777d07f37ae60db2e84f8172e8/beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2", size = 1333658, upload-time = "2025-12-13T06:50:28.266Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.14.3"
@@ -987,6 +1017,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/75/45/54bb2d8d4138964a94bef6e9afe48b0be4705ba66ac442ae7d8a8dc4ffef/click_option_group-0.5.9-py3-none-any.whl", hash = "sha256:ad2599248bd373e2e19bec5407967c3eec1d0d4fc4a5e77b08a0481e75991080", size = 11553, upload-time = "2025-10-09T09:38:00.066Z" },
 ]
 
+[[package]]
+name = "cloudpickle"
+version = "3.1.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/27/fb/576f067976d320f5f0114a8d9fa1215425441bb35627b1993e5afd8111e5/cloudpickle-3.1.2.tar.gz", hash = "sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414", size = 22330, upload-time = "2025-11-03T09:25:26.604Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/88/39/799be3f2f0f38cc727ee3b4f1445fe6d5e4133064ec2e4115069418a5bb6/cloudpickle-3.1.2-py3-none-any.whl", hash = "sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a", size = 22228, upload-time = "2025-11-03T09:25:25.534Z" },
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -1133,6 +1172,83 @@ toml = [
     { name = "tomli", marker = "python_full_version <= '3.11'" },
 ]
 
+[[package]]
+name = "cryptography"
+version = "46.0.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/78/19/f748958276519adf6a0c1e79e7b8860b4830dda55ccdf29f2719b5fc499c/cryptography-46.0.4.tar.gz", hash = "sha256:bfd019f60f8abc2ed1b9be4ddc21cfef059c841d86d710bb69909a688cbb8f59", size = 749301, upload-time = "2026-01-28T00:24:37.379Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8d/99/157aae7949a5f30d51fcb1a9851e8ebd5c74bf99b5285d8bb4b8b9ee641e/cryptography-46.0.4-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:281526e865ed4166009e235afadf3a4c4cba6056f99336a99efba65336fd5485", size = 7173686, upload-time = "2026-01-28T00:23:07.515Z" },
+    { url = "https://files.pythonhosted.org/packages/87/91/874b8910903159043b5c6a123b7e79c4559ddd1896e38967567942635778/cryptography-46.0.4-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5f14fba5bf6f4390d7ff8f086c566454bff0411f6d8aa7af79c88b6f9267aecc", size = 4275871, upload-time = "2026-01-28T00:23:09.439Z" },
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