Amazon product search

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Returns first page,' which is a useful limitation, but it does not indicate whether the tool is read-only, what fields the structured results include, how results are ordered, or any Amazon-specific restrictions such as rate limits. This is a significant gap for a live web scraping 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 a single, front-loaded sentence that immediately states the core purpose and the key behavioral limitation (first page). It is concise, easy to parse, and every word contributes to the meaning without 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?

With no output schema and no annotation, the description should compensate by explaining what a 'structured result' contains (e.g., product title, URL, price, rating). It only states 'Returns first page,' which leaves the agent without critical information about the response format and breadth of data. For a web scraper tool, this is incomplete.

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 100%, so the schema already documents both parameters (keyword and domain) with defaults and descriptions. The description adds no additional meaning or context beyond what the schema provides, so a baseline score of 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 tool provides 'Structured Amazon search results for a keyword' with the scoped behavior of returning only the first page. This distinguishes it from the sibling tools web_data_amazon_product (specific product details) and web_data_amazon_product_reviews (reviews).

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 does not explicitly state when to use this tool versus alternatives like web_data_amazon_product or general search tools such as serp_search. It offers no context about suitable use cases or exclusions, leaving the agent to infer usage from the name and schema.

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