Critical gaps across all dimensions. Tool descriptions are in Chinese and extremely brief (10-20 chars), failing the 10-1024 char guideline and providing no context for LLM selection. Input schemas are present but lack descriptions for most parameters, only 'audio_path', 'ref_text', 'target_text' have minimal descriptions; parameters like 'system_prompt', 'sample_rate', 'temperature', 'top_k', 'top_p', 'penalty', 'random_seed' have descriptions but are sparse. No output schemas documented. Error handling is absent, no recovery guidance, no categorization of errors. Tool names are verb-based (generate_speech, transcribe_audio, get_gpu_status, offload_gpu, release_gpu) which is good, but descriptions do not explain WHEN to use each tool or what it returns. No parameter constraints (enums, ranges) enforced in schemas despite numeric params like sample_rate and temperature having known valid ranges. Security: no evidence of secret injection or permission gating for destructive tools (offload_gpu, release_gpu). Composition: offload_gpu and release_gpu are similar but not clearly differentiated.

• Expand all tool descriptions to 50-200 characters in English, explaining WHAT the tool does, WHEN to use it (vs similar tools), and what it returns. E.g., 'Generate speech from text using voice cloning. Requires reference audio and text. Returns audio file path. Use when you need natural-sounding speech synthesis with a specific voice.'
• Convert parameter constraints to JSON Schema enums and patterns. For generate_speech, add 'enum: [16000, 22050, 24000, 28000, 32000]' for sample_rate; add 'minimum: 0.0, maximum: 1.5' for temperature; add 'minimum: 1, maximum: 100' for top_k.
• Document output schemas for all tools. E.g., generate_speech returns {file_path: string, duration_seconds: number, sample_rate: integer}; transcribe_audio returns {transcript: string, confidence: number, language: string}.
• Add error handling and recovery guidance. E.g., 'If GPU memory is exhausted, call offload_gpu() to move models to CPU, then retry. If that fails, call release_gpu() to free all memory.'
• Differentiate offload_gpu and release_gpu in descriptions. Offload: 'Move models to CPU (slower but frees VRAM).' Release: 'Unload all models from memory (requires reload on next use).'

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

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