Single tool 'execute_skill_action' has a basic description (47 chars) and two parameters with descriptions. However, the tool definition is inferred from client.py rather than explicitly registered in mcp_server.py. The mcp_server.py file contains only a stub that prints a JSON status message and does not actually register tools, define schemas, or handle MCP protocol requests. No input schema is visible in the source code, the schema structure is inferred from client.py's method signature. Output schema is completely undocumented. No error handling, validation, or recovery guidance. The server does not implement the MCP protocol at all.

• Implement actual MCP protocol in mcp_server.py: register tools via ListTools, handle CallTool requests, and return proper MCP responses. Current stub only prints JSON and does not handle any protocol messages.
• Define input schema as JSON Schema in tool registration: declare narrative_text as string with minLength/maxLength, and diagram_theme as enum with all valid theme values (CLEAN_MINIMALIST_TECH_VECTOR, etc.).
• Document output schema: declare all response fields (infographic_job_id, diagram_type, synthesized_nodes_count, semantic_connectors_routed, visual_metaphor_alignment_pct, high_res_svg_vector_url, editable_figma_json_ready) with types and descriptions.
• Add error handling: wrap client call in try-catch, return actionable error messages (e.g., 'Invalid diagram_theme. Valid options: CLEAN_MINIMALIST_TECH_VECTOR, DARK_ENTERPRISE, MINIMAL_FLAT'), and classify errors as retryable or user-fixable.
• Expand tool description from 47 chars to 100-200 chars: explain when to use (converting narrative text to diagrams), what it returns (SVG URL and Figma JSON), and any prerequisites (narrative_text must be 10+ words).