Server has 12 tools with consistent naming (verb_noun pattern) and basic descriptions. All tools have input schemas with types and descriptions. However, descriptions are generic and lack LLM-optimization guidance (e.g., 'when to use this vs similar tools'). Output schemas are returned as JSON strings rather than structured objects, making downstream chaining difficult. Error handling is minimal, most tools return generic success/error JSON without recovery guidance. No parameter validation constraints (enums for privacy values, limits on array sizes). Missing idempotency hints for write operations.

• Return structured objects instead of JSON strings. Define TypedDict or dataclass for Track, Playlist, etc., and return instances directly. FastMCP will serialize to JSON automatically.
• Add enum constraints to 'privacy' parameter: privacy: Literal['PUBLIC', 'PRIVATE', 'UNLISTED'] = 'PUBLIC'. This prevents invalid values and self-documents valid options.
• Implement a confirm_delete_playlist tool or add a 'confirm' parameter to delete_playlist. Require explicit confirmation before irreversible deletion.
• Enhance error messages with recovery guidance. E.g., 'No matching tracks found. Try search_tracks() to find the track ID, then use remove_tracks() with the video ID.'
• Add per-tool descriptions explaining when to use each search variant. E.g., 'Use search_tracks for songs, search_videos for remixes/live versions, search_and_add for bulk additions.'