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

The description discloses that the operation is asynchronous ('Queue') and outlines the expected follow-up polling and acceptance steps, which annotations do not convey. It adds meaningful behavioral context beyond the readOnlyHint/destructiveHint flags, though it does not mention rate limits, costs, or failure modes.

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 sentences with no filler. The core behavior is front-loaded, and the follow-up workflow is stated immediately after. Every sentence adds navigation value.

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?

The description plus a fully documented input schema and output schema cover most invocation needs. It provides the essential workflow handoff, though it could slightly improve by noting that the operation returns a job identifier or that generation may take time.

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 100%, so the input schema already documents every parameter including defaults and enums. The description does not add parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.

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 uses a specific verb 'Queue' with a clear resource ('AI album artwork generation') and target scope ('track or playlist'). It clearly distinguishes this from generating other content types like artist bios or press releases, and names the exact companion tools in the workflow.

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 clear sequential context: call this to queue generation, then poll with droptrack_get_ai_job, then accept with droptrack_accept_album_art_candidate. It names the relevant sibling tools precisely, though it does not explicitly state 'do not use X instead' or discuss conditions that would make an alternative preferable.

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