sephora_product_reviews

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

With no annotations, the description carries the full disclosure burden. It is transparent about pagination ('Returns one page'), the shape of reviews, and the aggregation details, which is useful for a read-only fetch. However, it omits broader behavioral traits such as rate limits, output size caveats, or how to correctly advance pages beyond the schema's 'page' description.

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 compact and places the core behavior first, followed by the return payload and then the product_id clarification. It is dense but each sentence contributes meaningful information; minor gains could be had by simplifying the last sentence's phrasing.

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?

For a two-parameter read-only tool with no output schema, the description provides needed eligibility: the required parameter, the optional page parameter, and a full enumeration of return content including review fields and the rating rollup. It does not spell out the exact JSON structure, but an agent can call this tool with reasonable confidence.

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 already documents both parameters at 100% coverage. The description adds real value by explaining that product_id is the Sephora productGroupID and that it equals the product_group_id returned by the /sephora/product endpoint, with a concrete example (P420652). This clarifies cross-tool provenance and reduces agent guesswork.

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 'Returns one page of a Sephora product's full customer reviews' and enumerates the specific review fields plus the rating rollup, making the tool's purpose evident and distinct from neighboring Sephora tools at a glance. It loses a point because it never explicitly names sister tools like sephora_product_questions or sephora_product to contrast against.

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 the correct use case: when you need a Sephora product's customer reviews and rating summary. It does not explicitly state when to avoid this tool, which alternatives to prefer, or any search/filter exclusions, leaving usage guidance implicit rather than explicit.

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