This server exhibits moderate definition quality with clear tool naming and basic descriptions, but suffers from incomplete schemas, missing parameter descriptions in some tools, and inadequate error handling guidance. Of 4 tools, all have descriptions but parameter documentation is inconsistent. Schema completeness varies: transcribe_file and transcribe_audio have reasonable input schemas with types and descriptions, but transcribe_youtube lacks an enum constraint on the 'task' parameter (shows string instead of Literal). Output schemas are entirely undocumented across all tools. Error handling returns plain error strings rather than actionable recovery guidance. Tools average 3-4 parameters with defaults, which is appropriate, but the lack of structured output documentation is a significant gap for agent chaining.
Download a YouTube video or extract its audio. Args: url: YouTube video URL keep_file: If True, keeps the file after transcription (stored in ~/.mlx-whisper-mcp/downloads) Returns: Path to the downloaded file or error message
Transcribe audio using MLX Whisper. Args: audio_data: Base64 encoded audio data language: Optional language code to force a specific language. Optional language code (e.g., "en", "fr") file_format: Audio file format (wav, mp3, etc.) task: Task to perform (transcribe or translate) Returns: Transcription text
Transcribe an audio file from disk using MLX Whisper. Args: file_path: Path to the audio file language: Optional language code to force a specific language task: Task to perform (transcribe or translate) Returns: Transcription text
Transcribe a YouTube video using MLX Whisper.
No output schema documentation. All 4 tools return string responses, but agents cannot determine structure (e.g., is it plain text, JSON, or formatted markdown?) or what fields to extract for downstream chaining. This violates the pattern:tool and pattern:response-shaper requirements.
transcribe_youtube: 'task' parameter defined as type string with default 'transcribe', but should be constrained to Literal['transcribe', 'translate'] enum like transcribe_file and transcribe_audio. Free-form string invites LLM hallucination of invalid values.
Error handling returns bare error strings (e.g., 'Error transcribing audio: {str(e)}') instead of actionable recovery guidance. LLM cannot determine if error is retryable, user-fixable, or fatal. Missing pattern:recovery-guide implementation.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 62 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 0 | - | v1 |
transcribe_audio and transcribe_youtube descriptions are generic and lack concrete guidance on WHEN to use each vs the others. E.g., transcribe_audio says 'Transcribe audio using MLX Whisper' (32 chars), too terse; should explain base64 encoding requirement and use case vs file_path alternative.
transcribe_youtube description is only 37 characters ('Transcribe a YouTube video using MLX Whisper.'), below the 50-char baseline for adequate context. Does not explain when to use vs download_youtube + transcribe_file workflow, or clarify keep_file parameter behavior.