feat: enhance pydantic output to include field descriptions

- Update generate_model_description to include field descriptions
- Add tests for field description handling
- Maintain backward compatibility for fields without descriptions

Fixes #2188

Co-Authored-By: Joe Moura <joao@crewai.com>

tests/utilities/test_converter.py

@@ -4,7 +4,7 @@ from typing import Dict, List, Optional
 from unittest.mock import MagicMock, Mock, patch
 
 import pytest
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from crewai.llm import LLM
 from crewai.utilities.converter import (
@@ -328,6 +328,26 @@ def test_generate_model_description_dict_field():
     assert description == expected_description
 
 
+def test_generate_model_description_with_field_descriptions():
+    class ModelWithDescriptions(BaseModel):
+        name: str = Field(..., description="The user's full name")
+        age: int = Field(..., description="The user's age in years")
+        
+    description = generate_model_description(ModelWithDescriptions)
+    expected = '{\n  "name": {"type": "str", "description": "The user\'s full name"},\n  "age": {"type": "int", "description": "The user\'s age in years"}\n}'
+    assert description == expected
+
+
+def test_generate_model_description_mixed_fields():
+    class MixedModel(BaseModel):
+        name: str = Field(..., description="The user's name")
+        age: int  # No description
+        
+    description = generate_model_description(MixedModel)
+    expected = '{\n  "name": {"type": "str", "description": "The user\'s name"},\n  "age": int\n}'
+    assert description == expected
+
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_convert_with_instructions():
     llm = LLM(model="gpt-4o-mini")