samsclub_product

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

Without annotations, the description carries the burden of disclosing behavior. It clearly states the return payload: one product's full detail including pricing, availability, images, rating, and review count. No side effects are stated, but the tool is framed as a retrieval operation, which is sufficient for this simple get-by-id tool.

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 one cohesive block but is slightly redundant, repeating 'full detail' twice and saying 'Sam's Club product' three times. The first sentence could easily be merged with the following phrase. It is not verbose relative to the value of the return-field list, but it is not as tight as it could be.

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 single-parameter lookup tool with no output schema, 'the description covers the input source, the returned fields, and the scope—one specific product. It does not discuss error states or what happens if the id cannot be found, but these are not essential to successfully invoking it.'

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 describes the 'id' parameter fully ('Numeric Sam's Club product id, from a product page's /ip/{slug}/{id} URL'), and schema coverage is 100%. The description restates roughly the same source-of-id guidance and adds no new semantic details such as example values or validation behavior.

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 ('Get') on a specific resource ('a Sam's Club product's full detail') and enumerates the returned content: name, brand, description, category breadcrumb, pricing, availability, images, rating, review count, and item number. This clearly distinguishes it from sibling tools like samsclub_category or samsclub_product_related.

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 implies the correct use case: when you have a specific Sam's Club product's numeric id from its /ip/ URL and want its full detail. It does not mention when-not conditions or differentiate from alternatives, so it stops short of a 5, but the context is clear.

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