samsclub_category

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

With no annotations, the description carries the full disclosure burden. It does so well: it explicitly explains that only the trailing id from a URL is used, that unrecognized ids return a genuine zero-result response instead of an error, and that pagination is real and page-based. It also enumerates the normalized product fields returned, giving unusual transparency into what to expect.

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 with no filler. The first sentence states the core purpose, the second covers parameter semantics, and the third covers error behavior and output. Each sentence adds distinct, necessary information.

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 tool has no output schema, so the description reasonably compensates by listing the normalized product fields, pagination behavior, and error semantics. It doesn't describe the exact output shape, page size, or maximum page count, but an agent has enough to select and invoke the tool correctly for a category-browsing task.

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?

The schema already provides 100% coverage of both parameters. The description adds valuable semantics beyond the schema: id accepts both a bare numeric id and a full /browse/{slug}/{id} URL, and only the trailing id is used. This directly helps an agent extract the correct value from ambiguous user input.

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 opens with a specific verb and resource: 'Browse a Sam's Club category or collection' and clearly states it returns the product grid. This distinguishes the tool from product-level or search-level siblings like samsclub_product and samsclub_departments without needing to inspect those tools.

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 clearly says when to use this tool: to browse a Sam's Club category or collection page's product grid. It also gives concrete input guidance for how ids can be provided and how pagination works. It does not explicitly name alternative tools or exclusion conditions, but the usage context is unambiguous and complete enough for selection.

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