Amazon product data

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

No annotations are provided, so the description must convey behavioral expectations. It only states the output categories and the URL format requirement, with no mention of potential blocking, latency, or error conditions. For a web scraping tool, this is insufficient disclosure of how the tool behaves in practice.

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 two short sentences, front-loading the key data fields and placing the requirement last. Every word adds value; no filler or redundancy.

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?

Given the simplicity of a one-parameter product data tool, the description covers the essential purpose, output fields, and URL constraint. It does not specify error handling or return format, but that is partially mitigated by the listed fields. For the tool's complexity, it is reasonably complete.

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 input schema already fully documents the single 'url' parameter with a description matching the tool description. The description adds no new parameter details, so it earns the baseline score of 3 for high 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 identifies the tool as providing 'Structured Amazon product data' and lists specific fields (title, price, ratings, images, specs). However, it lacks an explicit action verb like 'fetch' or 'retrieve', making it less directive than ideal. The mention of /dp/ distinguishes it from related search and review 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 provides a clear prerequisite: 'Requires a product URL containing /dp/.' This indicates the intended input context. It does not explicitly compare to alternatives like the sibling review or search tools, but the product-specific focus is apparent from the name and fields. There are no explicit exclusions.

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