Walmart product data

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

Annotations are absent, so the description carries the full burden of disclosing behavioral traits. It mentions the URL format requirement but does not disclose what happens with invalid URLs, whether the tool performs web scraping, any rate limits, or what the response looks like. This is a significant gap for a data retrieval 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 short but the first sentence 'Structured Walmart product data' largely restates the title, wasting a sentence. The second sentence provides the /ip/ requirement. While there is no fluff, the redundancy and lack of substantive content make it less effective than a concise sentence that combines purpose and constraint.

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 is simple with one parameter and no output schema, but the description does not explain what 'structured data' includes or any behavioral expectations. Given missing annotations and output schema, the description should provide more detail about the data returned and any limitations. It is insufficient for an agent to know what to expect.

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 covers the only parameter with full detail ('Walmart product URL (must contain /ip/)'). The description repeats this requirement without adding new semantics, so it adds no value beyond the schema. Baseline 3 is appropriate given 100% schema coverage.

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 'Structured Walmart product data' indicates the tool provides data about a Walmart product, but it is vague and does not specify what 'structured data' entails or how it differs from sibling tools like web_data_walmart_seller or web_data_amazon_product. It adds the /ip/ URL requirement, which gives some specificity but not enough to distinguish it from similar 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 only states a technical precondition ('Requires a product URL containing /ip/'). It provides no guidance on when to prefer this tool over alternatives, such as web_data_walmart_seller for seller data or web_data_amazon_product for Amazon products. No exclusions or context for appropriate use are given.

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