This MCP server presents a focused video quality analysis toolkit with clearly defined tools, but suffers from significant quality gaps that prevent production recommendation. All 5 tools have explicit schemas with proper JSON Schema structure and reasonable input parameters. However, critical issues emerge: (1) All tool descriptions are in Chinese, which violates LLM optimization baselines and creates poor discoverability for English-speaking LLMs; (2) Parameter descriptions lack detail and actionable constraints (e.g., 'path' parameter has no format guidance, range specs, or error recovery hints); (3) Output schemas are completely undocumented, the source code does not show what fields are returned, forcing LLMs to guess; (4) Error handling is minimal and non-actionable (FFmpegError catches exist but responses don't guide recovery); (5) No tool annotations (readOnlyHint, idempotentHint) despite all tools being read-only operations; (6) Missing composed tool patterns, no guidance on which tools to call together or in sequence. The tool names themselves are good (verb_noun pattern: analyze_*, compare_*, summarize_*) and follow verb-first conventions, but the surrounding definition infrastructure is weak.

• Translate all tool descriptions to English. Use domain-specific terms that LLMs recognize: 'Analyze video metadata (container format, codec, resolution, frame rate, bitrate, duration)' instead of Chinese text.
• Document output schemas explicitly. For each tool, add a 'returns' section in the implementation docstring and/or return type hints. Example for analyze_video_metadata: 'Returns {"container": string, "codec": string, "resolution": string, "frame_rate": float, "bitrate": int, "duration": float}'.
• Enhance parameter descriptions with format and constraint details. Change 'path' to: 'Absolute or relative path to a video file (e.g., /videos/sample.mp4). Supported formats: MP4, MKV, MOV. File size limit: 10 GB. FFmpeg must be installed.'
• Add readOnlyHint=true to all 5 tools in the Tool definition. This signals to agents that these tools are safe to call repeatedly without side effects.
• Improve error messages to be actionable. Instead of returning {"error": "<raw FFmpeg message>", "success": false}, return {"error": "FFmpeg analysis failed: [specific reason]. Ensure the file exists, is readable, and FFmpeg is installed. Check file format compatibility.", "success": false, "suggested_action": "verify_file_and_ffmpeg"}.
• Complete the optional reference parameter schema in analyze_artifacts. The inputSchema should include reference with type 'string' and description 'Optional. Reference video path for comparative analysis. If omitted, perform single-stream analysis.' with required: ['target'] only.