Four tools with basic verb-noun naming (transcribe_*, diarize_*, analyze_*), but descriptions lack depth and parameter documentation is minimal. All tools accept only a single 'url' parameter with minimal description. No output schemas documented. No error handling guidance. Descriptions average ~60 chars, below the 194-char baseline for production tools. No parameter constraints, enums, or format specifications. Tools lack information about what fields are returned, making downstream composition difficult.

• Document output schemas for each tool. E.g., transcribe_audio returns {text: string, duration_seconds: number, language: string, confidence: number}. analyze_meeting returns {transcription: string, speakers: [{name: string, start_time: float, end_time: float}], summary: string}.
• Expand parameter descriptions to include format, constraints, and examples. E.g., 'url: HTTP(S) URL to audio file (MP3, WAV, M4A; max 500MB; must be publicly accessible or include auth headers).'
• Add error handling guidance to tool descriptions. E.g., 'Returns error if URL is unreachable, file exceeds size limit, or Whisper API fails after 3 retries. Retry with exponential backoff for transient failures.'
• Clarify tool composition and use cases. Rename or document: 'transcribe_audio' for generic audio, 'transcribe_meeting_audio' for meetings with word-level timing, 'analyze_meeting' for full meeting analysis (transcription + speaker identification + attribution).
• Add result limits and streaming guidance. E.g., 'Results are concatenated from 20-second chunks. For audio >2 hours, consider calling transcribe_meeting_audio with pagination or streaming support (future).' Document max output size.

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

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