Critical failures across all dimensions. The single tool 'execute_skill_action' has a generic, multi-responsibility name that violates verb_noun conventions. Description is 169 chars but lacks WHEN/WHY context and does not explain the tool's state-modifying nature (generates patches, determines merge readiness). Input schema is present but parameters lack descriptions entirely, LLMs cannot infer what 'pull_request_diff' vs 'ci_error_logs' control or their expected formats. No output schema documented. The mcp_server.py implementation is a stub that prints JSON and exits, it does not actually register tools, handle requests, or implement the MCP protocol. Tool definition appears inferred from client.py rather than explicitly registered in the server.

• Rename 'execute_skill_action' to a verb_noun pair that reflects the actual operation, e.g., 'analyze_pr_diff' or 'generate_pr_fix'. Ensure the name alone conveys the action.
• Add descriptions to both input parameters. For 'pull_request_diff': 'The unified diff format of the PR changes (e.g., output of git diff or GitHub API)'. For 'ci_error_logs': 'CI/CD error logs and lint errors from the PR run (optional; if omitted, analysis proceeds without error context)'.
• Document the output schema explicitly in the tool definition: return object with fields 'auto_fix_patch' (string, unified diff format), 'tests_passed' (boolean), 'merge_ready_verdict' (enum: READY_FOR_AUTONOMOUS_MERGE | NEEDS_REVIEW | BLOCKED).
• Implement a proper MCP server request/response loop in mcp_server.py. Register the tool with its schema, handle incoming tool calls, invoke the client logic, and return structured responses. Follow the MCP 2026-07-28 spec for stateless request handling.
• Clarify in the tool description whether the tool only analyzes and returns a patch (read-only) or actually commits/pushes changes (destructive). If destructive, add a 'dry_run' parameter and document the permission requirements.