This server has a single tool with critical definition gaps. The tool name 'execute_skill_action' is generic and does not follow verb_noun conventions (should be 'review_pr_code' or 'analyze_code_diff'). The description is present but vague (58 chars) and does not explain WHEN to use it or WHAT it returns. Input schema is visible but incomplete: 'pr_diff_text' and 'language' lack detailed descriptions (both under 20 chars), no enums for language, no output schema documented, and no error handling guidance. The tool definition is inferred from client.py mock responses rather than explicit MCP registration in mcp_server.py. The mcp_server.py file does not actually implement tool execution, it only prints a JSON status message and exits. No validation, no actual sandboxing, no error recovery paths.

• Rename tool to 'review_code_diff' or 'analyze_pr_code' to follow verb_noun convention and clearly signal the action.
• Add detailed parameter descriptions: 'pr_diff_text' should specify format (unified diff, GitHub diff format, etc.); 'language' should list supported values (python, javascript, java, etc.) as an enum.
• Document the output schema in the tool description: 'Returns {execution_status: string, bugs_found: array of {severity, line, description}, review_verdict: string, auto_fix_suggestion: string}'.
• Implement actual tool execution in mcp_server.py instead of mock responses in client.py. The server must parse the MCP request, invoke the analysis logic, and return structured results.
• Add error handling: validate diff format, check language support, return actionable errors like 'Unsupported language: got "rust", supported: python, javascript, java, go' instead of silent failures.