Two tools with clear verb-noun naming (get_youtube_transcript, list_transcript_languages) and reasonable descriptions (145 - 155 chars, within baseline 34 - 392 range). Input schemas are present with proper JSON Schema structure and type declarations. However, parameter descriptions are minimal (10 - 30 chars), falling well below the 72-char baseline for A+ tools. No output schema documentation. Error handling returns plain text rather than structured guidance. Missing idempotency hints, rate-limit guidance, and dependency documentation. Caching logic is present but undocumented to the LLM.

• Expand parameter descriptions to 50 - 100 chars. For 'language', write: 'ISO 639-1 language code (e.g., en, es, fr). If omitted, defaults to the first available track (usually en). Unsupported codes return an error with available options.'
• Document output schema in tool descriptions. E.g., 'Returns a structured response with: title (string), channel (string), duration (string), entries (array of {start: number (seconds), text: string}). When include_timestamps=false, entries are joined into a single text field.'
• Add recovery guidance to error messages. Replace 'Missing required parameter: url' with 'Missing required parameter: url. Provide a YouTube video URL (e.g., https://youtube.com/watch?v=dQw4w9WgXcQ) or video ID (e.g., dQw4w9WgXcQ).'
• Add tool annotations to the schema: set readOnlyHint=true and idempotentHint=true for both tools to signal safety to LLMs and enable aggressive caching/retry strategies.
• Document the caching behavior in tool descriptions: 'Results are cached per video ID and language. Repeated calls return cached data (TTL: 24 hours). For fresh data, include a cache_bust parameter or call list_transcript_languages first to verify available languages.'

Inferred effective spec: <=2025-11-25.

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