Moodify exposes 25 Spotify-integration tools via HTTP/Streamable transport. Critical gaps: NO tool descriptions visible in source code (all 25 tools score 0 on description dimension). Input schemas are inferred from Zod validators in implementation files but NOT explicitly registered in tool definitions, cannot verify schema completeness. Tool names follow verb_noun convention (search_tracks, play_track, get_queue) which is good, but without descriptions, LLMs cannot determine when to select each tool. No error handling guidance, no output schema documentation, no parameter descriptions visible. This is a functional Spotify client but fails basic agent-tool quality standards.
All 25 tools lack descriptions. LLMs cannot determine when to select each tool or what it does.
Input schemas not explicitly visible in tool registration. Zod validators exist in implementation (src/tools/*.ts) but tool definitions do not show JSON Schema with types and parameter descriptions. Cannot verify schema completeness.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 41 | <=2025-11-25 | v2 |
No output schema documentation. LLMs cannot plan downstream tool calls or extract required fields (e.g., track_id, playlist_id) for chaining. LLMs need to know what fields to expect.'
No error handling guidance. Errors do not tell LLMs what to do next (retry, ask user, or fail).
Destructive tools (play_track, pause_playback, create_playlist, save_track, remove_saved_track, surprise_me) lack confirmation or dry-run support.