ConvX defines 10 tools with complete JSON schemas and descriptions. However, critical gaps limit production readiness: (1) Tool names lack action verbs, 'usage-guide', 'convert_file', 'get_supported_formats' mix styles; (2) Descriptions are present but generic (avg ~100 chars, below 194-char baseline); (3) Parameter descriptions exist but lack format/constraint details (e.g., 'quality' has no range hint, 'output_format' no enum); (4) No output schemas documented, LLMs cannot predict response structure; (5) Error handling is minimal, no recovery guidance or categorization. The server is functional but does not meet production-grade tool patterns for LLM reasoning.

• Document output schemas for all tools. E.g., convert_file should return {success: bool, output_path: string, file_size: number, format: string, metadata: object}. This enables LLMs to chain tools and extract required fields.
• Add enum constraints to parameters. Replace 'output_format' description with 'Target format (enum: jpg, png, mp4, pdf, docx, etc.)' and list all supported formats inline or via reference.
• Add numeric bounds to all numeric parameters. E.g., 'quality: integer, range 0-100 (default 85)'; 'width: integer, range 1-8192 pixels'; 'fps: number, range 1-120 frames/second'.
• Rename 'usage-guide' to 'get_usage_guide' or remove it entirely. If it serves as documentation, consider moving it to server info or a separate resource endpoint rather than a tool.
• Enhance error messages with recovery guidance. E.g., if convert_file fails with 'Unsupported format', return 'Unsupported format: xyz. Call get_supported_formats to see available formats.' This guides LLM retry logic.

Inferred effective spec: 2025-06-18+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry