Voice Mode

# Minimal Tool Description This is the proposed minimal description for the `mcp__voicemode__converse` tool. **Target:** ~200-300 tokens (down from ~4000 tokens) --- ``` Have an ongoing voice conversation - speak a message and optionally listen for response. 🔌 ENDPOINT: STT/TTS services must expose OpenAI-compatible endpoints: /v1/audio/transcriptions and /v1/audio/speech 📚 DOCUMENTATION: See MCP resources for detailed information: - voicemode-quickstart: Basic usage and common examples - voicemode-parameters: Complete parameter reference - voicemode-languages: Non-English language support guide - voicemode-patterns: Best practices and conversation patterns - voicemode-troubleshooting: Audio, VAD, and connectivity issues KEY PARAMETERS: • message (required): The message to speak • wait_for_response (bool, default: true): Listen for response after speaking • listen_duration (number, default: 120): Max listen time in seconds • min_listen_duration (number, default: 2.0): Min recording time before silence detection • voice (string): TTS voice name (auto-selected unless specified) • tts_provider ("openai"|"kokoro"): Provider selection (auto-selected unless specified) • disable_silence_detection (bool, default: false): Disable auto-stop on silence • vad_aggressiveness (0-3, default: 2): Voice detection strictness (0=permissive, 3=strict) • speed (0.25-4.0): Speech rate (1.0=normal, 2.0=double speed) PRIVACY: Microphone access required when wait_for_response=true. Audio processed via STT service, not stored. For complete parameter list, advanced options, and detailed examples, consult the MCP resources listed above. ``` --- ## Token Savings - **Original description:** ~4000 tokens - **Current description:** ~1000 tokens - **Proposed minimal:** ~200-300 tokens - **Total savings:** ~3700 tokens (92.5% reduction) ## Resource Token Costs When LLM sees resource listing in context: - Each resource name/URI: ~10-20 tokens - Total for 5 resources: ~50-100 tokens - Only fetched when needed ## Net Savings - Without fetching resources: ~3600 tokens saved - Fetching 1 resource: ~3300 tokens saved (typical case) - Fetching all 5 resources: ~1500 tokens saved (rare case) Most interactions will save 3500+ tokens.