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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the description needn't restate safety. It does add real behavioral detail beyond them: a hard cap of 100 active listings, that only the shop's first problem is surfaced with a count, and that the sales figure is lifetime shop total rather than per listing. Auth requirements and rate-limit behavior are not mentioned.

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 sentences, front-loaded with the action and capped by return-value detail; every clause carries information. The lifetime-vs-per-listing parenthetical is slightly dense but prevents a real misreading, so it earns its place.

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?

With no output schema, the description carries the return-shape burden and does so well: first problem, affected-listing count, per-listing issues, and sales count. It leaves open what happens for shops with more than 100 listings and how API failures are surfaced.

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 coverage is 100% and the single 'shop' parameter already documents 'name or shop link', so the schema does the work. The description adds no syntax, normalization, or edge-case guidance for the parameter, which matches the baseline 3 for high-coverage schemas.

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 names a specific verb+resource: reads up to 100 active listings of a shop and checks them against Etsy's title, tag, and photo rules. That is far more precise than a generic 'audit'. It does not name a sibling to contrast with (e.g., etsy_listing_check for a single listing), so it stops short of 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?

Two concrete trigger questions ('why is my Etsy shop not getting sales?' and 'what should I fix first?') make the intended use unambiguous. There are no explicit exclusions or named alternatives, so an agent must infer that per-listing diagnosis belongs to etsy_listing_check.

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