chewy_category

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

With no annotations provided, the description carries the full burden and delivers substantially: it discloses the one-page/36-product pagination behavior, the 404-on-unknown-id error behavior, the default relevance sort, and the up-to-10-repeatable filter constraint. The disclosure that an unrecognized group_id yields a 404 rather than an unfiltered listing is a particularly valuable non-obvious behavioral detail.

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 description is a dense single paragraph of roughly 200 words with no filler — every sentence adds value, covering response contents, ID derivation, taxonomy chaining, error behavior, and sort/filter semantics. It loses a point for being an undifferentiated wall of text; light structural separation between input semantics, output behavior, and usage patterns would improve scannability.

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 and no annotations, the description compensates fully: it summarizes the response shape (product pricing, stock, rating, images, facets, breadcrumbs), explains the chaining pattern for navigating the category taxonomy, documents error behavior, and covers all four parameters' semantics. Nothing an agent needs to make a correct first call or follow-up calls is missing.

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?

Despite 100% schema coverage, the schema's group_id and filter descriptions are truncated, and the description fills the gap. It explains the trailing-id derivation with a concrete example (294 for /b/dry-food-294), clarifies that unrecognized IDs error out, and specifies the filter key:value pairing format using facets from prior responses. It also adds that sort defaults to Chewy's relevance ordering and confirms page size semantics.

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 states a specific action ('Browse a Chewy category listing') and a specific resource (a category identified by group_id), then enumerates exactly what is returned: one page of 36 products with price, autoship discount, stock, rating, images, facets, and breadcrumbs. This clearly differentiates it from sibling tools like chewy_search, chewy_categories, and chewy_product without needing to open the 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?

The description gives rich context for when to use the tool: it explains how to derive group_id from a chewy.com/b/<slug>-<id> URL, that breadcrumbs and facet values are ready-made inputs for follow-up calls (taxonomy discovery), and that an unknown group_id returns 404. However, it never explicitly names alternative tools or states when to prefer chewy_search or chewy_categories over this one.

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