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

Annotations already cover read-only and open-world behavior; the description adds useful non-annotation context in the form of the 3-credit cost and the 'public listing' nature of the data. However, pagination behavior and result shape (beyond 'same shape as walmart.search') are not disclosed.

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 short sentences, front-loaded with the action and scope, then the differentiation, then the cost. Minor redundancy in repeating 'Walmart category' but no wasted bulk.

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 5-parameter tool with no output schema, the description leans entirely on the 'same shape as walmart.search' reference and leaves pagination and the three undocumented parameters unaddressed. Adequate for a basic browse call but incomplete for full correct invocation.

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 only 40%: page, country_code, and cache_max_age are undocumented in both schema and description, and the description does not compensate by explaining them. It only reinforces the required category id via 'keyed by category id,' which the schema already covers with an example.

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?

States a specific verb and resource (browse a Walmart category listing) and differentiates it from the sibling walmart_search by noting it is keyed by category id instead of a query. The analogy is clear enough that an agent can distinguish the two without opening schemas.

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 phrase 'keyed by category id instead of a query' implicitly routes the agent to walmart_search when a query is available, but there is no explicit when-to-use/when-not guidance and no mention of walmart_product or walmart_reviews for drilling into items.

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