All 10 tools have explicit schemas and descriptions, but quality is inconsistent. Tool names lack action verbs (e.g., 'youtube-to-markdown' instead of 'convert-youtube-to-markdown'), violating the verb_noun pattern. Descriptions are minimal (10-50 chars) and lack context on WHEN to use each tool or what distinguishes them. Parameters are typed but lack constraints (no enums, ranges, or format hints). Output schemas are completely undocumented, callers cannot predict response structure. Error handling is absent from tool definitions. Security concerns: filepath parameters accept absolute paths without validation, risking path traversal attacks.

• Rename tools to verb_noun pattern: 'convert_youtube_to_markdown', 'convert_pdf_to_markdown', etc. This makes intent explicit and helps LLMs disambiguate.
• Expand descriptions to 80-150 chars. Example: 'Convert a YouTube video to markdown by fetching and transcribing the video. Returns markdown with title, description, and transcript text.' Include WHEN to use it vs similar tools.
• Document output schemas in tool descriptions. Example: 'Returns {path: string, text: string, metadata: {title, duration, language}}'. This enables LLMs to chain tools and extract needed fields.
• Add constraints to filepath parameters: 'Absolute path to file (must be within /data directory, no symlinks). Supported formats: PDF, DOCX, XLSX, PPTX, PNG, JPG, MP3, WAV.' Prevents path traversal and clarifies scope.
• Add error handling guidance: 'If file not found, returns error with available files in directory. If format unsupported, returns error with list of supported formats. Retryable on network timeout.'