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

Annotations already declare non-read-only, destructive, open-world and non-idempotent; the description adds genuinely new context: the image is illustrative, the saved design remains authoritative, results may come back pending, and a bounded allowance is consumed. It does not explain what the response contains (image URL, pending handle), which keeps it from a 5.

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?

Three tight sentences, front-loaded with the action, then the authority caveat, then the async/allowance note. No filler, though 'may return pending work' and 'bounded allowance' are compressed to the point of being slightly vague.

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 mutation-style tool with no output schema and a large free-form nested options object, the description covers the important semantics (non-authoritative output, pending results, quota) but never characterizes the return value or how to obtain the finished image, leaving a real gap.

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% and the schema itself documents subject, sessionToken, requestId and the nested options blob (including overwrite and public-URL-fetch caveats). The description adds no parameter-specific meaning, so the baseline 3 applies.

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 and resource: render the current design being worn via an AI photoshoot, plus a clarifying caveat that the output is illustrative only. It does not name a sibling (e.g., preview_design) to disambiguate, so it falls short of a 5.

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?

Usage is implied rather than stated: 'show the current design being worn' suggests a mockup/visualization use case, and 'illustrative image; the saved garment design remains the print authority' tells the agent not to treat the result as the source of truth. There is no explicit when-to-use vs. preview_design or generate_artwork.

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