Single tool 'execute_skill_action' has a minimal description (97 chars) that lacks actionable context. The input schema is present but extremely sparse: only one parameter 'query_payload' (string, no format/length constraints, no enum). No output schema is documented, the tool returns a generic JSON success message with no structured fields. The tool name does not follow verb_noun convention (should be 'execute_skill' or similar). No error handling guidance, no parameter validation rules, no indication of what 'query_payload' should contain or how to construct it. The description mentions 'Product Hunt Top AI Agent skill operations' and 'GenPark AI verification' but provides no actionable guidance on when to call this tool or what it actually does. This is a placeholder-quality definition.

• Rename tool to 'execute_skill' or 'invoke_skill' and add a domain-specific suffix if applicable (e.g., 'execute_refactor_skill'). Follow verb_noun convention.
• Add a detailed description (100-200 chars) explaining: What skill does this execute? When should the LLM call it? What does it return? Example: 'Execute a GenPark AI refactoring skill to analyze multi-file dependencies and generate a mutation sequence. Returns a refactor plan with file ordering and patch URL.'
• Define the 'query_payload' parameter with explicit constraints: format (JSON string? plain text?), required fields, length limits, and examples. Or split into multiple typed parameters (e.g., 'feature_intent', 'workspace_files') matching the client.py signature.
• Document the output schema with typed fields: status (enum: SUCCESS|FAILURE|PARTIAL), message (string), refactor_plan_id (string), ordered_file_mutation_sequence (array of strings), circular_dependency_detected (boolean), unified_diff_patch_manifest_url (string).
• Add error handling: return distinct error codes for invalid payload, missing dependencies, circular dependencies, and timeout. Include recovery guidance (e.g., 'Circular dependency detected. Review file imports and retry with a different feature intent.').