walmart_product

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

Annotations indicate a read-only operation (readOnlyHint=true) and potential open-world effects (openWorldHint=true). The description adds 'automatic parsing' but omits other behavioral traits such as rate limits, authentication needs, or error handling. With annotations present, the description adds some value but leaves gaps.

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 extremely concise—one sentence that front-loads the core action and resource. It contains no fluff or repetition, making it easy for an agent to parse quickly.

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?

While the schema and annotations cover basic details, the lack of an output schema places burden on the description. 'Automatic parsing' is vague about the return format. For a scraping tool, more context about what data is extracted or error conditions would improve completeness.

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 description coverage is 100%, so the schema already documents all parameters. The description does not add meaning beyond the schema; 'automatic parsing' hints at output format but not parameter-specific details. Baseline 3 is appropriate.

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 clearly states the action ('Scrape'), the resource ('Walmart Product page'), and adds 'with automatic parsing' hinting at structured output. It effectively distinguishes from sibling tools like walmart_search.

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 usage for scraping a single product page but provides no explicit when-to-use or when-not-to-use guidance. No alternatives or exclusions are mentioned, leaving the agent to infer context from the tool name alone.

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