Critical gaps across all dimensions. Tool definitions are inferred from brief descriptions in comments; no explicit schema registration visible in provided source. Descriptions are minimal (10-20 chars), far below the 50-200 char baseline for LLM-optimized tools. No input parameter schemas, types, or constraints documented. No output schemas. Error handling and recovery guidance absent. Tools like 'manage_webhooks' combine multiple operations (create/update/list/delete) violating single-responsibility principle. Desktop-bridge credentials discovery is well-implemented, but tool definitions themselves lack production rigor.

• Add explicit JSON Schema input definitions for all 8 tools. Each parameter must have type, description (20+ chars), and constraints (enum, min/max, pattern). Example: search_recordings should document query string format, date range filters, result limit.
• Expand tool descriptions to 50-200 characters. Include WHAT the tool does, WHEN to use it, and any prerequisites. Example: 'Start a new recording session on the desktop app. Use this to begin capturing screen, audio, and transcription. Requires SeaMeet desktop app v3.2.0+ running locally.'
• Split manage_webhooks into 4 separate tools: create_webhook (with event_type, url, secret params), update_webhook (webhook_id, event_type, url), list_webhooks (with pagination), delete_webhook (webhook_id). Each tool has one clear responsibility.
• Document output schemas for all tools. Example: start_recording returns {recording_id, session_id, started_at, status}. get_transcript returns {transcript_text, recording_id, duration_ms, language}. Include all fields downstream tools need.
• Add error handling with recovery guidance. Example: If desktop app not running, return 'Desktop app not running. Install/update: `brew install --cask seameet-ai/tap/seameet` (macOS) or `winget install seameet` (Windows). Then restart the app and retry.' For auth errors, guide user through OAuth device flow.