fix: Prevent manager agent from having tools assigned (#2131)

[devin-ai-integration]

Fixes #2131

Changes

• Add model validation to prevent tool assignment to manager agent
• Improve error handling in _create_manager_agent
• Add test to verify manager agent tools validation

Testing

• Added new test case to verify manager agent tools validation
• Verified existing tests pass

Link to Devin run: https://app.devin.ai/sessions/c688da17c74f4bdc998cf783b16ac4b2
Requested by: Joe

[devin-ai-integration]

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[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #2132 - Manager Agent Tools Validation

Overview

This pull request introduces validation mechanisms ensuring that manager agents are restricted to only holding delegation tools. The updates enhance overall error handling and introduce unit tests for the validation logic. The changes impact four primary files, totalizing 73 insertions and 19 deletions.

Detailed Review

1. src/crewai/agent.py

• Enhancements:

  • Validation was added in the post_init_setup method to restrict manager agents to delegation tools only. This significantly improves system reliability and prevents logical errors.

• Suggestions for Improvement:

  • Error Handling:
    It would be beneficial to explicitly handle potential errors during the validation process:

    def post_init_setup(self):
        if self.role == "Manager" and self.allow_delegation and self.crew:
            try:
                self.tools = self.get_delegation_tools(self.crew.agents)
            except Exception as e:
                raise ValueError(f"Failed to set delegation tools: {str(e)}")
        return self

2. src/crewai/crew.py

• Enhancements:

  • The _create_manager_agent functionality was refined ensuring only delegation tools are assigned.

• Issue Identified:

  • The logic for tool assignment could be made more efficient by consolidating repetitions, preventing redundant assignments in several scenarios.

• Improvement Suggestion:

  • Consolidation Example:

    def _create_manager_agent(self):
        ...
        delegation_tools = AgentTools(agents=self.agents).tools()
        if self.manager_agent is not None:
            self.manager_agent.allow_delegation = True
            self.manager_agent.tools = delegation_tools
        ...

3. src/crewai/tools/agent_tools/agent_tools.py

• Enhancements:

  • Delegation tool names are now explicitly defined, lending clarity to their purpose.

• Suggestion for Improvement:

  • Use of Constants:
    Employ constants for tool names, improving maintainability and readability:

    DELEGATE_TOOL_NAME = "Delegate Work"
    class AgentTools:
        def tools(self) -> list[BaseTool]:
            ...
            delegate_tool = DelegateWorkTool(name=DELEGATE_TOOL_NAME)
            ...

4. tests/crew_test.py

• Enhancements:

  • New test cases have been implemented to validate that manager agents only possess the correct tools.

• Improvement Suggestions:

  • Add Edge Cases:
    Expanding your tests to cover edge cases will ensure robustness in validation:

    def test_manager_agent_tools_validation():
        ...
        assert len(crew.manager_agent.tools) == 2

General Recommendations

1. Implement input validation for agent role inputs to prevent potential typos.
2. Consider creating a custom exception class specifically for manager agent validation.
3. Add logging around crucial operations, especially tool assignments.
4. Documentation should be added to clarify tool validation logic for future developers.

Security Considerations

• Enforce strict checks to prevent non-delegation tools being assigned at runtime.
• Validate permissions for each tool before they are assigned to any manager agent.

Conclusion

The changes in this PR significantly improve the management and validation of manager agent tools, enhancing the integrity of the system. Additional improvements regarding error handling and documentation are recommended to further strengthen the codebase's reliability.

Links to related PRs from historical analyses would have provided additional insights, but encountering restrictions limited those efforts. However, maintaining a focus on enhancing validation, error handling, and testing practices is crucial for ongoing development.

[devin-ai-integration]

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