diff --git a/MIGRATION.md b/MIGRATION.md
index 3df87e01f304..efbeec6c97ea 100644
--- a/MIGRATION.md
+++ b/MIGRATION.md
@@ -262,6 +262,7 @@ Affected SDKs: All SDKs.
 - Legacy messaging (`messaging.*`) and database (`db.statement`, …) span attributes on the AMQP and Redis instrumentations were replaced by their current semantic-convention equivalents.
 - The gen_ai cache token attributes `gen_ai.usage.cache_creation_input_tokens` and `gen_ai.usage.cache_read_input_tokens` were renamed to `gen_ai.usage.cache_creation.input_tokens` and `gen_ai.usage.cache_read.input_tokens`.
 - The `gen_ai.system` span attribute was renamed to `gen_ai.provider.name` across all AI integrations.
+- The `gen_ai.request.available_tools` span attribute was renamed to `gen_ai.tool.definitions` across all AI integrations.
 - Span attributes now use the shared `@sentry/conventions` package under the hood.
 
 If you reference these attributes in custom instrumentation, `beforeSendSpan`, dashboards, or alerts, update them to the new names.
diff --git a/dev-packages/node-integration-tests/suites/tracing/anthropic/test.ts b/dev-packages/node-integration-tests/suites/tracing/anthropic/test.ts
index 65eafea375be..4f14ede7c609 100644
--- a/dev-packages/node-integration-tests/suites/tracing/anthropic/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/anthropic/test.ts
@@ -3,7 +3,6 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MAX_TOKENS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_REQUEST_TEMPERATURE,
@@ -14,6 +13,7 @@ import {
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_USAGE_INPUT_TOKENS,
   GEN_AI_USAGE_OUTPUT_TOKENS,
   GEN_AI_USAGE_TOTAL_TOKENS,
@@ -453,7 +453,7 @@ describe('Anthropic integration', () => {
             expect(firstSpan!.name).toBe('chat claude-3-haiku-20240307');
             expect(firstSpan!.status).toBe('ok');
             expect(firstSpan!.attributes['sentry.op'].value).toBe('gen_ai.chat');
-            expect(firstSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS].value).toBe(EXPECTED_TOOLS_JSON);
+            expect(firstSpan!.attributes[GEN_AI_TOOL_DEFINITIONS].value).toBe(EXPECTED_TOOLS_JSON);
             expect(firstSpan!.attributes[GEN_AI_RESPONSE_TOOL_CALLS].value).toBe(EXPECTED_TOOL_CALLS_JSON);
           },
         })
@@ -483,7 +483,7 @@ describe('Anthropic integration', () => {
               expect(span.attributes['sentry.op'].value).toBe('gen_ai.chat');
               expect(span.attributes[GEN_AI_RESPONSE_STREAMING].value).toBe(true);
               expect(span.attributes[GEN_AI_RESPONSE_FINISH_REASONS].value).toBe('["tool_use"]');
-              expect(span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS].value).toBe(EXPECTED_TOOLS_JSON);
+              expect(span.attributes[GEN_AI_TOOL_DEFINITIONS].value).toBe(EXPECTED_TOOLS_JSON);
               expect(span.attributes[GEN_AI_RESPONSE_TOOL_CALLS].value).toBe(EXPECTED_TOOL_CALLS_JSON);
             }
 
diff --git a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts
index 0e195be2f668..f0ab73ca0123 100644
--- a/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/google-genai/test.ts
@@ -4,7 +4,6 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MAX_TOKENS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_REQUEST_TEMPERATURE,
@@ -16,6 +15,7 @@ import {
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_USAGE_INPUT_TOKENS,
   GEN_AI_USAGE_OUTPUT_TOKENS,
   GEN_AI_USAGE_TOTAL_TOKENS,
@@ -182,7 +182,7 @@ describe('Google GenAI integration', () => {
             expect(container.items).toHaveLength(3);
             const nonStreamingToolsSpan = container.items.find(
               span =>
-                span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]?.value === EXPECTED_AVAILABLE_TOOLS_JSON &&
+                span.attributes[GEN_AI_TOOL_DEFINITIONS]?.value === EXPECTED_AVAILABLE_TOOLS_JSON &&
                 span.attributes[GEN_AI_RESPONSE_STREAMING] === undefined,
             );
             expect(nonStreamingToolsSpan).toBeDefined();
@@ -198,7 +198,7 @@ describe('Google GenAI integration', () => {
 
             const streamingToolsSpan = container.items.find(
               span =>
-                span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]?.value === EXPECTED_AVAILABLE_TOOLS_JSON &&
+                span.attributes[GEN_AI_TOOL_DEFINITIONS]?.value === EXPECTED_AVAILABLE_TOOLS_JSON &&
                 span.attributes[GEN_AI_RESPONSE_STREAMING]?.value === true,
             );
             expect(streamingToolsSpan).toBeDefined();
@@ -214,9 +214,7 @@ describe('Google GenAI integration', () => {
             expect(streamingToolsSpan!.attributes[GEN_AI_USAGE_OUTPUT_TOKENS].value).toBe(10);
             expect(streamingToolsSpan!.attributes[GEN_AI_USAGE_TOTAL_TOKENS].value).toBe(22);
 
-            const noToolsSpan = container.items.find(
-              span => span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] === undefined,
-            );
+            const noToolsSpan = container.items.find(span => span.attributes[GEN_AI_TOOL_DEFINITIONS] === undefined);
             expect(noToolsSpan).toBeDefined();
             expect(noToolsSpan!.name).toBe('generate_content gemini-2.0-flash-001');
             expect(noToolsSpan!.status).toBe('ok');
diff --git a/dev-packages/node-integration-tests/suites/tracing/langgraph/test.ts b/dev-packages/node-integration-tests/suites/tracing/langgraph/test.ts
index 91481ae3d82c..52b43e922525 100644
--- a/dev-packages/node-integration-tests/suites/tracing/langgraph/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/langgraph/test.ts
@@ -6,11 +6,11 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PIPELINE_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_RESPONSE_MODEL,
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_NAME,
   GEN_AI_USAGE_INPUT_TOKENS,
   GEN_AI_USAGE_OUTPUT_TOKENS,
@@ -107,7 +107,7 @@ describe('LangGraph integration', () => {
             expect(toolAgentInvokeSpan).toBeDefined();
             expect(toolAgentInvokeSpan!.status).toBe('ok');
             expect(toolAgentInvokeSpan!.attributes['sentry.op'].value).toBe('gen_ai.invoke_agent');
-            expect(toolAgentInvokeSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS].value).toContain('get_weather');
+            expect(toolAgentInvokeSpan!.attributes[GEN_AI_TOOL_DEFINITIONS].value).toContain('get_weather');
             expect(toolAgentInvokeSpan!.attributes[GEN_AI_INPUT_MESSAGES].value).toContain('What is the weather?');
             expect(toolAgentInvokeSpan!.attributes[GEN_AI_RESPONSE_MODEL].value).toBe('gpt-4-0613');
             expect(toolAgentInvokeSpan!.attributes[GEN_AI_RESPONSE_TEXT].value).toContain(
diff --git a/dev-packages/node-integration-tests/suites/tracing/openai/openai-tool-calls/test.ts b/dev-packages/node-integration-tests/suites/tracing/openai/openai-tool-calls/test.ts
index 8be980920f18..b14d5a56901f 100644
--- a/dev-packages/node-integration-tests/suites/tracing/openai/openai-tool-calls/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/openai/openai-tool-calls/test.ts
@@ -4,7 +4,6 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_FINISH_REASONS,
   GEN_AI_RESPONSE_ID,
@@ -12,6 +11,7 @@ import {
   GEN_AI_RESPONSE_STREAMING,
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_USAGE_INPUT_TOKENS,
   GEN_AI_USAGE_OUTPUT_TOKENS,
   GEN_AI_USAGE_TOTAL_TOKENS,
@@ -106,7 +106,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'string',
               value: 'gpt-4',
             });
-            expect(chatToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(chatToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -165,7 +165,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'boolean',
               value: true,
             });
-            expect(streamingChatToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(streamingChatToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -225,7 +225,7 @@ describe('OpenAI Tool Calls integration', () => {
               value: 'gpt-4',
             });
             expect(responsesToolsSpan!.attributes[GEN_AI_REQUEST_STREAM_ATTRIBUTE]).toBeUndefined();
-            expect(responsesToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(responsesToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -284,7 +284,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'boolean',
               value: true,
             });
-            expect(streamingResponsesToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(streamingResponsesToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -358,7 +358,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'string',
               value: '[{"role":"user","content":"What is the weather like in Paris today?"}]',
             });
-            expect(chatToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(chatToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -429,7 +429,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'string',
               value: '[{"role":"user","content":"What is the weather like in Paris today?"}]',
             });
-            expect(streamingChatToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(streamingChatToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -497,7 +497,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'string',
               value: '[{"role":"user","content":"What is the weather like in Paris today?"}]',
             });
-            expect(responsesToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(responsesToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
@@ -564,7 +564,7 @@ describe('OpenAI Tool Calls integration', () => {
               type: 'string',
               value: '[{"role":"user","content":"What is the weather like in Paris today?"}]',
             });
-            expect(streamingResponsesToolsSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toEqual({
+            expect(streamingResponsesToolsSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toEqual({
               type: 'string',
               value: WEATHER_TOOL_DEFINITION,
             });
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v4/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v4/test.ts
index 2f61639c50b6..8c0d21b8692f 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v4/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v4/test.ts
@@ -4,9 +4,9 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_OUTPUT_MESSAGES,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_MODEL,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -209,12 +209,12 @@ describe('Vercel AI integration (streaming v4)', () => {
           [SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: attr(expectedOrigin),
         }),
       }),
-      // Fifth span - tool call generate_content with available_tools
+      // Fifth span - tool call generate_content with tool definitions
       expect.objectContaining({
         name: 'generate_content mock-model-id',
         status: 'ok',
         attributes: expect.objectContaining({
-          [GEN_AI_REQUEST_AVAILABLE_TOOLS]: expect.objectContaining({
+          [GEN_AI_TOOL_DEFINITIONS]: expect.objectContaining({
             value: expect.stringContaining('getWeather'),
           }),
           [GEN_AI_REQUEST_MODEL]: attr('mock-model-id'),
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v6/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v6/test.ts
index 4136c7e6bb70..4f9fb903c3a0 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v6/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/span-streaming-v6/test.ts
@@ -4,9 +4,9 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_OUTPUT_MESSAGES,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_MODEL,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -203,12 +203,12 @@ describe('Vercel AI integration (streaming, v6)', () => {
           [SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: attr(origin),
         }),
       }),
-      // Fifth span - tool call generate_content with available_tools
+      // Fifth span - tool call generate_content with tool definitions
       expect.objectContaining({
         name: 'generate_content mock-model-id',
         status: 'ok',
         attributes: expect.objectContaining({
-          [GEN_AI_REQUEST_AVAILABLE_TOOLS]: expect.objectContaining({
+          [GEN_AI_TOOL_DEFINITIONS]: expect.objectContaining({
             value: expect.stringContaining('getWeather'),
           }),
           [GEN_AI_REQUEST_MODEL]: attr('mock-model-id'),
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
index e7ff55ad8427..c93015784926 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/test.ts
@@ -6,10 +6,10 @@ import {
   GEN_AI_OPERATION_NAME,
   GEN_AI_OUTPUT_MESSAGES,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_MODEL,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -223,13 +223,13 @@ describe('Vercel AI integration (v4)', () => {
             const toolGenerateContentSpan = container.items.find(
               span =>
                 span.name === 'generate_content mock-model-id' &&
-                getStringAttributeValue(span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]?.value)?.includes('getWeather'),
+                getStringAttributeValue(span.attributes[GEN_AI_TOOL_DEFINITIONS]?.value)?.includes('getWeather'),
             );
             expect(toolGenerateContentSpan).toBeDefined();
             expect(toolGenerateContentSpan!.name).toBe('generate_content mock-model-id');
             expect(toolGenerateContentSpan!.status).toBe('ok');
             expect(toolGenerateContentSpan!.attributes['sentry.op'].value).toBe('gen_ai.generate_content');
-            expect(toolGenerateContentSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS].value).toContain('getWeather');
+            expect(toolGenerateContentSpan!.attributes[GEN_AI_TOOL_DEFINITIONS].value).toContain('getWeather');
             expect(toolGenerateContentSpan!.attributes[GEN_AI_USAGE_INPUT_TOKENS].value).toBe(15);
 
             const toolExecutionSpan = container.items.find(span => span.name === 'execute_tool getWeather');
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/v5/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/v5/test.ts
index 4fd5ccd3e3a0..36a2f7da12c5 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/v5/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/v5/test.ts
@@ -4,9 +4,9 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OUTPUT_MESSAGES,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_MODEL,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -229,13 +229,13 @@ describe('Vercel AI integration (v5)', () => {
               const toolGenerateContentSpan = container.items.find(
                 span =>
                   span.name === 'generate_content mock-model-id' &&
-                  span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] !== undefined,
+                  span.attributes[GEN_AI_TOOL_DEFINITIONS] !== undefined,
               );
               expect(toolGenerateContentSpan).toBeDefined();
               expect(toolGenerateContentSpan!.name).toBe('generate_content mock-model-id');
               expect(toolGenerateContentSpan!.status).toBe('ok');
               expect(toolGenerateContentSpan!.attributes['sentry.op'].value).toBe('gen_ai.generate_content');
-              expect(toolGenerateContentSpan!.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toBeDefined();
+              expect(toolGenerateContentSpan!.attributes[GEN_AI_TOOL_DEFINITIONS]).toBeDefined();
               expect(toolGenerateContentSpan!.attributes[GEN_AI_USAGE_INPUT_TOKENS].value).toBe(15);
 
               const toolExecutionSpan = container.items.find(span => span.name === 'execute_tool getWeather');
diff --git a/dev-packages/node-integration-tests/suites/tracing/vercelai/v6_v7/test.ts b/dev-packages/node-integration-tests/suites/tracing/vercelai/v6_v7/test.ts
index 19f784b339aa..c48783c19eb0 100644
--- a/dev-packages/node-integration-tests/suites/tracing/vercelai/v6_v7/test.ts
+++ b/dev-packages/node-integration-tests/suites/tracing/vercelai/v6_v7/test.ts
@@ -6,11 +6,11 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OUTPUT_MESSAGES,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_FINISH_REASONS,
   GEN_AI_RESPONSE_MODEL,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -132,13 +132,13 @@ describe.each(matrix)('Vercel AI integration (version %s)', (version, vercelAiVe
               const toolGenerateContentSpan = container.items.find(
                 span =>
                   span.name === 'generate_content mock-model-id' &&
-                  span.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] !== undefined,
+                  span.attributes[GEN_AI_TOOL_DEFINITIONS] !== undefined,
               )!;
               expect(toolGenerateContentSpan).toBeDefined();
               expect(toolGenerateContentSpan.name).toBe('generate_content mock-model-id');
               expect(toolGenerateContentSpan.status).toBe('ok');
               expect(toolGenerateContentSpan.attributes['sentry.op']?.value).toBe('gen_ai.generate_content');
-              expect(toolGenerateContentSpan.attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS]).toBeDefined();
+              expect(toolGenerateContentSpan.attributes[GEN_AI_TOOL_DEFINITIONS]).toBeDefined();
               expect(toolGenerateContentSpan.attributes[GEN_AI_USAGE_INPUT_TOKENS]?.value).toBe(15);
 
               const toolExecutionSpan = container.items.find(span => span.name === 'execute_tool getWeather')!;
diff --git a/packages/server-utils/src/ai/anthropic-ai/index.ts b/packages/server-utils/src/ai/anthropic-ai/index.ts
index 4b824b09cc98..88c335734d01 100644
--- a/packages/server-utils/src/ai/anthropic-ai/index.ts
+++ b/packages/server-utils/src/ai/anthropic-ai/index.ts
@@ -11,7 +11,6 @@ import {
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROMPT,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_FREQUENCY_PENALTY,
   GEN_AI_REQUEST_MAX_TOKENS,
   GEN_AI_REQUEST_MODEL,
@@ -22,6 +21,7 @@ import {
   GEN_AI_RESPONSE_MODEL,
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
+  GEN_AI_TOOL_DEFINITIONS,
 } from '@sentry/conventions/attributes';
 import { GEN_AI_REQUEST_STREAM_ATTRIBUTE } from '../core/gen-ai-attributes';
 import type { InstrumentedMethodEntry } from '../core/utils';
@@ -62,7 +62,7 @@ export function extractRequestAttributes(
   if (args.length > 0 && typeof args[0] === 'object' && args[0] !== null) {
     const params = args[0] as Record<string, unknown>;
     if (params.tools && Array.isArray(params.tools)) {
-      attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] = JSON.stringify(params.tools);
+      attributes[GEN_AI_TOOL_DEFINITIONS] = JSON.stringify(params.tools);
     }
 
     attributes[GEN_AI_REQUEST_MODEL] = params.model ?? 'unknown';
diff --git a/packages/server-utils/src/ai/google-genai/index.ts b/packages/server-utils/src/ai/google-genai/index.ts
index 32a830a7113c..15ac50ca0fa9 100644
--- a/packages/server-utils/src/ai/google-genai/index.ts
+++ b/packages/server-utils/src/ai/google-genai/index.ts
@@ -15,7 +15,6 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_FREQUENCY_PENALTY,
   GEN_AI_REQUEST_MAX_TOKENS,
   GEN_AI_REQUEST_MODEL,
@@ -27,6 +26,7 @@ import {
   GEN_AI_RESPONSE_TEXT,
   GEN_AI_RESPONSE_TOOL_CALLS,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_USAGE_INPUT_TOKENS,
   GEN_AI_USAGE_OUTPUT_TOKENS,
   GEN_AI_USAGE_TOTAL_TOKENS,
@@ -128,7 +128,7 @@ export function extractRequestAttributes(
         const functionDeclarations = config.tools.flatMap(
           (tool: { functionDeclarations: unknown[] }) => tool.functionDeclarations,
         );
-        attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] = JSON.stringify(functionDeclarations);
+        attributes[GEN_AI_TOOL_DEFINITIONS] = JSON.stringify(functionDeclarations);
       }
     }
   } else {
diff --git a/packages/server-utils/src/ai/langchain/index.ts b/packages/server-utils/src/ai/langchain/index.ts
index 37b6f98b8b0a..0ded43a6d291 100644
--- a/packages/server-utils/src/ai/langchain/index.ts
+++ b/packages/server-utils/src/ai/langchain/index.ts
@@ -10,8 +10,8 @@ import {
 import type { Span, SpanAttributeValue } from '@sentry/core';
 import {
   GEN_AI_OPERATION_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
   GEN_AI_TOOL_OUTPUT,
@@ -145,7 +145,7 @@ export function createLangChainCallbackHandler(options: LangChainOptions = {}):
 
       const toolDefsJson = extractToolDefinitions(extraParams);
       if (toolDefsJson) {
-        attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] = toolDefsJson;
+        attributes[GEN_AI_TOOL_DEFINITIONS] = toolDefsJson;
       }
 
       const modelName = attributes[GEN_AI_REQUEST_MODEL];
diff --git a/packages/server-utils/src/ai/langgraph/index.ts b/packages/server-utils/src/ai/langgraph/index.ts
index 3f4feeb5f2ca..28e2f42c37a8 100644
--- a/packages/server-utils/src/ai/langgraph/index.ts
+++ b/packages/server-utils/src/ai/langgraph/index.ts
@@ -13,9 +13,9 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PIPELINE_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
 } from '@sentry/conventions/attributes';
 import { GEN_AI_INVOKE_AGENT_OPERATION_ATTRIBUTE } from '../core/gen-ai-attributes';
 import {
@@ -157,7 +157,7 @@ export function instrumentCompiledGraphInvoke(
             // Extract available tools from the graph instance
             const tools = extractToolsFromCompiledGraph(graphInstance);
             if (tools) {
-              span.setAttribute(GEN_AI_REQUEST_AVAILABLE_TOOLS, JSON.stringify(tools));
+              span.setAttribute(GEN_AI_TOOL_DEFINITIONS, JSON.stringify(tools));
             }
 
             // Parse input messages
diff --git a/packages/server-utils/src/ai/openai/index.ts b/packages/server-utils/src/ai/openai/index.ts
index 71f2a717bec8..8e33c540e5ce 100644
--- a/packages/server-utils/src/ai/openai/index.ts
+++ b/packages/server-utils/src/ai/openai/index.ts
@@ -15,9 +15,9 @@ import {
   GEN_AI_INPUT_MESSAGES,
   GEN_AI_OPERATION_NAME,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
 } from '@sentry/conventions/attributes';
 import type { InstrumentedMethodEntry } from '../core/utils';
 import {
@@ -71,7 +71,7 @@ export function extractRequestAttributes(args: unknown[], operationName: string)
 
     const availableTools = extractAvailableTools(params);
     if (availableTools) {
-      attributes[GEN_AI_REQUEST_AVAILABLE_TOOLS] = availableTools;
+      attributes[GEN_AI_TOOL_DEFINITIONS] = availableTools;
     }
 
     Object.assign(attributes, extractRequestParameters(params));
diff --git a/packages/server-utils/src/ai/vercel-ai/index.ts b/packages/server-utils/src/ai/vercel-ai/index.ts
index f5f332fb2429..1fb9b96eeb69 100644
--- a/packages/server-utils/src/ai/vercel-ai/index.ts
+++ b/packages/server-utils/src/ai/vercel-ai/index.ts
@@ -20,6 +20,7 @@ import {
   GEN_AI_PROVIDER_NAME,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_MODEL,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
@@ -317,7 +318,7 @@ export function processVercelAiSpanAttributes(attributes: Record<string, unknown
   buildOutputMessages(attributes);
 
   renameAttributeKey(attributes, AI_RESPONSE_OBJECT_ATTRIBUTE, 'gen_ai.response.object');
-  renameAttributeKey(attributes, AI_PROMPT_TOOLS_ATTRIBUTE, 'gen_ai.request.available_tools');
+  renameAttributeKey(attributes, AI_PROMPT_TOOLS_ATTRIBUTE, GEN_AI_TOOL_DEFINITIONS);
 
   renameAttributeKey(attributes, AI_TOOL_CALL_ARGS_ATTRIBUTE, GEN_AI_TOOL_INPUT);
   renameAttributeKey(attributes, AI_TOOL_CALL_RESULT_ATTRIBUTE, GEN_AI_TOOL_OUTPUT);
diff --git a/packages/server-utils/src/ai/vercel-ai/utils.ts b/packages/server-utils/src/ai/vercel-ai/utils.ts
index 89672aa1d4a9..3222557f6b54 100644
--- a/packages/server-utils/src/ai/vercel-ai/utils.ts
+++ b/packages/server-utils/src/ai/vercel-ai/utils.ts
@@ -1,10 +1,9 @@
-/* eslint-disable typescript-eslint/no-deprecated */
 import { stringify } from '@sentry/core';
 import type { Span, SpanAttributes, SpanJSON, TraceContext } from '@sentry/core';
 import {
   GEN_AI_INPUT_MESSAGES,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_DESCRIPTION,
   GEN_AI_TOOL_NAME,
   GEN_AI_USAGE_INPUT_TOKENS,
@@ -69,14 +68,14 @@ export function applyAccumulatedTokens(
 }
 
 /**
- * Builds a map of tool name -> description from all spans with available_tools.
+ * Builds a map of tool name -> description from all spans with tool definitions.
  * This avoids O(n²) iteration and repeated JSON parsing.
  */
 function buildToolDescriptionMap(spans: SpanJSON[]): Map<string, string> {
   const toolDescriptions = new Map<string, string>();
 
   for (const span of spans) {
-    const availableTools = span.data[GEN_AI_REQUEST_AVAILABLE_TOOLS];
+    const availableTools = span.data[GEN_AI_TOOL_DEFINITIONS];
     if (typeof availableTools !== 'string') {
       continue;
     }
@@ -99,7 +98,7 @@ function buildToolDescriptionMap(spans: SpanJSON[]): Map<string, string> {
  * Applies tool descriptions and accumulated tokens to spans in a single pass.
  *
  * - For `gen_ai.execute_tool` spans: looks up tool description from
- *   `gen_ai.request.available_tools` on sibling spans
+ *   `gen_ai.tool.definitions` on sibling spans
  * - For `gen_ai.invoke_agent` spans: applies accumulated token data from children
  */
 export function applyToolDescriptionsAndTokens(spans: SpanJSON[], tokenAccumulator: Map<string, TokenSummary>): void {
diff --git a/packages/server-utils/src/vercel-ai/vercel-ai-dc-subscriber.ts b/packages/server-utils/src/vercel-ai/vercel-ai-dc-subscriber.ts
index dd06780c5987..9fbda5cf91ea 100644
--- a/packages/server-utils/src/vercel-ai/vercel-ai-dc-subscriber.ts
+++ b/packages/server-utils/src/vercel-ai/vercel-ai-dc-subscriber.ts
@@ -7,13 +7,13 @@ import {
   GEN_AI_OPERATION_NAME,
   GEN_AI_OUTPUT_MESSAGES,
   GEN_AI_PROVIDER_NAME,
-  GEN_AI_REQUEST_AVAILABLE_TOOLS,
   GEN_AI_REQUEST_MODEL,
   GEN_AI_RESPONSE_FINISH_REASONS,
   GEN_AI_RESPONSE_ID,
   GEN_AI_RESPONSE_MODEL,
   GEN_AI_RESPONSE_STREAMING,
   GEN_AI_SYSTEM_INSTRUCTIONS,
+  GEN_AI_TOOL_DEFINITIONS,
   GEN_AI_TOOL_INPUT,
   GEN_AI_TOOL_NAME,
   GEN_AI_TOOL_OUTPUT,
@@ -80,7 +80,7 @@ const operationIdByCallId = new Map<string, { operationId: string; isStream: boo
 // onto the tool span here — without relying on the OTel `vercelAiEventProcessor`
 // (which isn't registered in channel/orchestrion mode). Cleared with the
 // operation. Only populated when inputs are recorded, matching the OTel path
-// (which sources descriptions from the recorded `available_tools`).
+// (which sources descriptions from the recorded `tool.definitions`).
 const toolDescriptionsByCallId = new Map<string, Map<string, string>>();
 
 // A streamed `streamText` operation's own channel result is always `undefined` (the SDK exposes the
@@ -370,7 +370,7 @@ export function createSpanFromMessage(
   const maxRetries = asNumber(event.maxRetries);
 
   // Harvest tool descriptions from the operation/model-call `tools` so tool spans can backfill them.
-  // Gated on `recordInputs` to match the OTel path, which only records `available_tools` then.
+  // Gated on `recordInputs` to match the OTel path, which only records `tool.definitions` then.
   if (recordInputs) {
     recordToolDescriptions(callId, event.tools);
   }
@@ -465,7 +465,7 @@ function buildModelCallSpan(
     ...baseAttributes,
     [VERCEL_AI_OPERATION_ID_ATTRIBUTE]: operationId,
     ...(recordInputs ? buildInputMessageAttributes(event, enableTruncation) : {}),
-    ...(recordInputs && Array.isArray(event.tools) ? { [GEN_AI_REQUEST_AVAILABLE_TOOLS]: stringify(event.tools) } : {}),
+    ...(recordInputs && Array.isArray(event.tools) ? { [GEN_AI_TOOL_DEFINITIONS]: stringify(event.tools) } : {}),
   });
 }
 
diff --git a/packages/server-utils/src/vercel-ai/vercel-ai-orchestrion-subscriber.ts b/packages/server-utils/src/vercel-ai/vercel-ai-orchestrion-subscriber.ts
index ad67f26f442c..72fc3a04b4bc 100644
--- a/packages/server-utils/src/vercel-ai/vercel-ai-orchestrion-subscriber.ts
+++ b/packages/server-utils/src/vercel-ai/vercel-ai-orchestrion-subscriber.ts
@@ -487,7 +487,7 @@ function patchModelMethod(
         provider: model.provider,
         modelId: model.modelId,
         // v4 nests the tool list under `mode.tools` (the `LanguageModelV1` call shape); v5+ passes a
-        // top-level `tools` array. Reading both keeps `available_tools` populated on the model-call span.
+        // top-level `tools` array. Reading both keeps `tool.definitions` populated on the model-call span.
         tools: callArgs.tools ?? (isObjectLike(callArgs.mode) ? callArgs.mode.tools : undefined),
         messages: callArgs.prompt,
         // Inherit the enclosing operation's per-call recording flags so inputs/tools/outputs are recorded on