remove_track_from_playlist

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds valuable behavioral context beyond annotations: the '⚠️ CAUTION: This modifies your rekordbox database!' warning emphasizes the mutation impact, which annotations only partially cover (readOnlyHint=false, destructiveHint=false). It also mentions the return value ('Result of the operation'), though output schema exists. However, it doesn't detail idempotency (implied by annotation) or specific error behaviors, leaving some gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded: the core purpose is stated first, followed by a caution note, then parameter and return sections. Every sentence earns its place—no redundancy or fluff. The bullet-point format for Args/Returns enhances readability without wasting space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (mutation with database impact), annotations cover safety aspects (readOnlyHint=false, idempotentHint=true, destructiveHint=false), and an output schema exists, the description is reasonably complete. It adds crucial behavioral warnings and parameter context. However, it lacks explicit usage prerequisites or error handling details, slightly reducing completeness for a mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates by listing both parameters (playlist_id, track_id) with brief explanations ('ID of the playlist to modify', 'ID of the track to remove'). This adds meaning beyond the bare schema, clarifying what each ID represents. However, it doesn't provide format details, validation rules, or examples, keeping it at baseline adequacy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Remove a track from a playlist') with specific verb and resource, making the purpose immediately understandable. It distinguishes from siblings like 'add_track_to_playlist' by specifying removal rather than addition. However, it doesn't explicitly differentiate from 'delete_playlist' (which removes entire playlists) or other playlist-modifying tools, keeping it from a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing valid playlist and track IDs), compare with similar tools like 'delete_playlist' for entire playlist removal, or specify error conditions. The caution note about database modification is behavioral, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.