approve_tracks

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

Annotations declare a non-read-only, non-destructive, closed-world mutation, and the description adds the crucial behavioral nuance that approving does NOT enqueue downloads — a genuinely useful clarification of side-effect scope beyond the annotations. It still doesn't state what state the tracks move to or whether approval is reversible.

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?

Two tight sentences, front-loaded with the action and the two modes, with the disambiguation against queue_downloads placed last where it is most needed. Dense but no filler.

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?

For a 4-parameter mutation with no output schema and no parameter descriptions in the schema, the description supplies enough to invoke correctly and to know the side-effect boundary. Missing only the interplay of the two mutually-exclusive-looking selectors and the post-approval state.

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?

With 0% schema description coverage, the description carries the full burden and does well: it defines track_ids, explains that candidate selects which pick (0 = best), and describes min_confidence as a threshold selector. playlist_id is left undocumented, and the precedence when both track_ids and min_confidence are supplied is unstated.

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?

States a specific verb (approve) and resource (candidates/tracks in a playlist) and explicitly separates its effect from queue_downloads. An agent can distinguish this from sibling tools like queue_downloads and review_candidates without opening a schema.

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?

Explains the two selection modes (explicit track_ids vs min_confidence threshold) and clarifies the boundary with queue_downloads ('Approving queues nothing; queue_downloads does'). It lacks an explicit statement of when approval is a prerequisite step or when to prefer review_candidates first, so it stops short of full routing guidance.

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