summarize_review_ratings

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

With no annotations, the description carries the full burden. It signals a read-only operation via 'Return' and adds the useful guarantee of deterministic results. However, it does not disclose whether the page parameter limits the summary to one review page or whether the summary spans the full ASIN, and return formatting/pagination is absent.

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?

One sentence conveys the operation, input source, and outputs with no filler. It is front-loaded and concise without loss of meaning.

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 core return values and source are covered, but this tool has no output schema and no annotations, so page behavior and result shape are meaningful gaps. An agent can use the default page, but cannot confidently decide how to change or interpret the page parameter.

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 0%, so the description must compensate for both parameters. It only loosely identifies 'ASIN' and a 'review page', leaving the effect of the page parameter on the rating summary unclear.

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 uses a specific verb ('Return') and a precise resource ('an ASIN review page'), and enumerates the exact outputs: deterministic rating counts, average rating, and review volume. This clearly distinguishes it from raw review retrieval and comparison siblings.

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 wording implies this is for aggregate rating statistics rather than raw reviews, but it never explicitly states when to prefer it over get_amazon_reviews or compare_review_pages. The usage context must be inferred from the described output type.

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