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

Annotations only cover readOnly/openWorld; the description adds substantive operational detail: source is public category pages fetched via a residential proxy, ~20 s typical latency with a recommended 45 s timeout, 48 results per page across pages 1–20, and total count returned. It also discloses the commercial terms — $0.02 USDC per successful call via x402 on Base/Solana/Arc with failed calls not charged — which an agent needs before invoking a paid endpoint.

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 core purpose and result shape are front-loaded in the first clause, followed by pagination, latency, and cost. It is dense but nearly every clause carries actionable information; the only mild bloat is the parenthetical badge example and the somewhat tangential sibling reference.

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 2-parameter read-only scraper with an output schema, the description covers everything an agent needs to call it correctly: input format, result fields, page size and page ceiling, expected runtime/timeout, data provenance, cost model, and billing failure policy. Nothing material is left to inference.

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 already 100%, so the baseline is 3. The description adds value by pairing the page range with a fixed page size of 48, letting an agent compute how many pages to walk to exhaust a category, and by reinforcing the slug format. It does not clarify default behavior or what happens for out-of-range pages, keeping it below 5.

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 resource (DICK'S Sporting Goods products within a category) and enumerates the returned fields — name, brand, part number, price/list price, rating, review count, badge, SKU count, link. Concrete slug examples (mens-running-shoes, golf-drivers, kayaks) make the scope unambiguous and separate it from the many scoreboard/stats siblings.

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 context is clear: this is the tool for browsing a product category on dickssportinggoods.com, and it explicitly points to dev_sporting_life_racing for a different need (horse racing racecards). What's missing is a when-not-to-use signal relative to the actually adjacent catalog siblings (e.g. dev_academy_sports_outdoors, dev_thesportsdb) — no guidance on category browsing vs. keyword/product search or brand-level lookups.

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