Critical failures across all dimensions. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic 18-character description that violates the 20-character minimum. The mcp_server.py file does not implement the MCP protocol, it merely prints a JSON status message and exits. No tool registration, no schema definitions, no error handling, and no actual MCP message handling. This is not a functional MCP server.

• Implement a proper MCP message loop in mcp_server.py that reads JSON-RPC requests from stdin, parses them, dispatches to tool handlers, and writes responses to stdout. Reference the MCP spec (2026-07-28) for stateless request handling.
• Define a complete JSON Schema for execute_skill_action inputs. Include 'workflow_nodes_raw' (array of objects with required 'id' field), 'layout_algorithm' (enum: FORCE_DIRECTED_DAG, HIERARCHICAL, CIRCULAR), and any other parameters. Add type, description, and constraints for each.
• Expand the tool description to 50-200 characters. Example: 'Synthesize optimal node positions for a visual canvas workflow using force-directed or hierarchical layout algorithms. Returns node coordinates and edge routing metadata.'
• Add descriptions to every parameter. Example: 'workflow_nodes_raw (array): List of workflow node objects, each with required id (string) and optional metadata fields.' 'layout_algorithm (enum): Layout strategy, FORCE_DIRECTED_DAG for organic spacing, HIERARCHICAL for top-down flow.'
• Document the output schema with field types and descriptions. Example: 'Returns {optimized_node_positions: {[nodeId]: {x: number, y: number}}, edge_routing_count: number, export_format: string}'. Include error responses with actionable recovery guidance.