Single tool with reasonable naming and schema structure, but significant gaps in descriptions and error handling. The tool name 'get_youtube_transcript' follows verb_noun convention (positive), and the input schema is present with proper JSON Schema structure. However, the tool description, while present, is generic and doesn't adequately explain when/why to use it relative to alternatives or prerequisites. Parameter descriptions exist but lack detail about format/constraints. Most critically, error handling is absent from the visible code, no guidance for LLMs when transcript lookup fails, when Whisper transcription errors occur, or how to retry. Output schema is not documented in the visible tool definition.

• Expand tool description to ~150-200 chars following pattern:tool-description. Example: 'Searches YouTube for a video matching the query, retrieves its official caption transcript if available (supports 100+ languages), or generates one using OpenAI Whisper if official captions are disabled. Returns transcript text, video duration, language code, and confidence score. Requires internet connectivity and ~10-60 seconds depending on video length and Whisper backend.'
• Document the complete output schema in the tool definition. Include: { transcript_text: string, video_title: string, video_id: string, video_url: string, duration_seconds: number, language: string, source: 'official'|'whisper', confidence: number (0-1 if whisper), error?: string }.
• Replace the example value in 'query' parameter with formal constraints in the description: 'Search query for YouTube video (2-500 characters). Can include video title, creator name, or topic. Ambiguous queries return the most-watched match. If no results found, returns helpful suggestions.'
• Add explicit error enum or categorization to schema. Document common failures: 'Video not found (404)', 'Captions disabled by creator', 'Whisper model not available', 'Audio download failed', 'Transcription timeout (>2 min video length)', with recovery guidance for each.
• Clarify 'force_whisper' parameter: 'When true, skip official captions and generate transcript using Whisper. Useful for: ensuring consistent formatting, accessing original language before auto-translation, or validating caption accuracy. Warning: Whisper takes 10-60s depending on video length; official captions are instant.'

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

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