Critical failures across all dimensions. The single tool 'execute_skill_action' has a minimal description (67 chars, below the 194-char baseline), lacks output schema documentation entirely, and the input schema is present but parameters lack descriptions. The MCP server implementation is non-functional: mcp_server.py merely prints a JSON status message and does not implement the MCP protocol at all. No request/response handling, no tool invocation mechanism, no error handling. The client.py and example_usage.py files are standalone Python code unrelated to MCP protocol. Tool definition is inferred from client.py rather than explicitly registered in the server.

• Implement the MCP protocol in mcp_server.py: read JSON-RPC messages from stdin, parse tool invocation requests, call the actual skill backend, and write structured responses to stdout. Use a library like mcp-python or implement the protocol manually per the 2026-07-28 spec.
• Add descriptions to all input parameters. E.g., 'character_image_url: URL to a PNG or JPEG image of the character (max 10 MB, must be publicly accessible)' and 'voice_audio_url: URL to an MP3 or WAV audio file (max 60 seconds, must be publicly accessible)'.
• Document the output schema in the tool description. Specify all response fields: avatar_job_id (string, job identifier), rendered_talking_video_url (string, HTTPS URL to output video), lip_phoneme_synchronization_score_pct (number, 0-100), micro_expression_naturalness_score (number, 0-100), head_pose_quaternion_tracking_fps (number, frames per second).
• Add error handling and recovery guidance. E.g., 'If the audio URL is invalid, the tool returns error_code: INVALID_AUDIO_URL. Verify the URL is publicly accessible and in MP3 or WAV format. If the character image is too large, reduce to under 10 MB and retry.'
• Extend the tool description from 67 to 150+ characters. Include WHEN to use it (e.g., 'Use this to generate a talking avatar video from a character image and voice audio') and WHAT it returns (e.g., 'Returns a video URL and quality metrics').