diff --git a/tests/unit_tests/data_validation/test_TabularDescriptionTables.py b/tests/unit_tests/data_validation/test_TabularDescriptionTables.py
index 3f0615957..0a68e466f 100644
--- a/tests/unit_tests/data_validation/test_TabularDescriptionTables.py
+++ b/tests/unit_tests/data_validation/test_TabularDescriptionTables.py
@@ -82,3 +82,23 @@ def test_table_contents(self):
         datetime_table = next(df for df in result if "Datetime Variable" in df.columns)
         self.assertEqual(len(datetime_table), 2)  # Should have 2 datetime columns
         self.assertTrue("Earliest Date" in datetime_table.columns)
+
+    def test_bool_columns_included_in_categorical(self):
+        df = pd.DataFrame(
+            {
+                "flag": pd.array([True, False, True, False, True], dtype=bool),
+                "active": pd.array([False, False, True, True, False], dtype=bool),
+                "num": [1, 2, 3, 4, 5],
+            }
+        )
+        vm_dataset = vm.init_dataset(input_id="bool_dataset", dataset=df, __log=False)
+        result = TabularDescriptionTables(vm_dataset)
+
+        categorical_table = next(
+            (t for t in result if "Categorical Variable" in t.columns), None
+        )
+        self.assertIsNotNone(categorical_table, "Categorical table should be present")
+        categorical_vars = categorical_table["Categorical Variable"].tolist()
+        self.assertIn("flag", categorical_vars)
+        self.assertIn("active", categorical_vars)
+        self.assertEqual(len(categorical_vars), 2)
diff --git a/validmind/tests/data_validation/TabularDescriptionTables.py b/validmind/tests/data_validation/TabularDescriptionTables.py
index be9ff0c59..c8fb20609 100644
--- a/validmind/tests/data_validation/TabularDescriptionTables.py
+++ b/validmind/tests/data_validation/TabularDescriptionTables.py
@@ -177,7 +177,7 @@ def get_summary_statistics_datetime(dataset, datetime_fields):
 
 def get_categorical_columns(dataset):
     categorical_columns = dataset.df.select_dtypes(
-        include=["object", "category"]
+        include=["object", "category", "bool"]
     ).columns.tolist()
     return categorical_columns