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 contains only a JSON status message with no actual MCP protocol implementation, no tool registration, no schema definitions, no request/response handling. The client.py and example_usage.py files are demo code unrelated to MCP server functionality. This is not a functional MCP server.

• Implement actual MCP protocol handling in mcp_server.py: parse JSON-RPC requests, dispatch to tool handlers, return structured responses with proper error codes.
• Define execute_skill_action with explicit JSON Schema input parameters (e.g., artifact_type, spec_prompt) with types, descriptions, and enums where applicable.
• Expand tool description to 50 - 200 characters explaining WHAT it does, WHEN to use it, and WHAT it returns. Example: 'Render an interactive artifact (React component, SVG simulator, etc.) in an isolated sandbox. Returns canvas session ID, render latency, and sandbox URL for embedding.'
• Document the output schema with all returned fields (canvas_session_id, artifact_type, iframe_sandbox_isolated, dom_render_latency_ms, interactive_state_hooks_active, standalone_html_export_ready, sandbox_view_url) and their types.
• Add parameter descriptions: artifact_type (enum: REACT_COMPONENT, INTERACTIVE_SVG_SIMULATOR, etc.), spec_prompt (string, 10 - 1000 chars describing the artifact to render).