nike_product_reviews

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

With no annotations provided, the description carries the full behavioral burden and does a solid job: it describes the returned content, states that a no-review product returns a well-formed empty result, and warns that an out-of-range page returns a not-found error. It does not disclose every possible behavior like rate limits, but for a read-only reviews endpoint the critical edge cases are covered.

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?

This is a tightly written description: it leads with the operation, explains the output, connects the parameters to a sibling tool, and includes two relevant edge cases. No sentence is filler.

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 tool with no output schema and no annotations, this description is notably complete: it says what the result contains, when the result is empty, and when it errors. The lack of specific field names in the review objects is a minor gap, but the agent can correctly select and invoke the tool based on the provided details.

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 schema already explains all three parameters at 100% coverage, so the baseline is 3; the description adds real value by tying slug and style_color to the nike_product and search-result fields, and by clarifying that the tool returns one page at a time. This helps an agent understand what to pass and what to expect.

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 opens with a specific verb and resource: 'Get Nike product reviews.' It further specifies the return value as normalized reviews plus an aggregate rating summary, and distinguishes itself from Nike's product-detail endpoint, so the tool's purpose is unmistakable.

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?

It explains that slug and style_color are the same values nike-product accepts and come from a search result's colors[].slug and colors[].style_color fields, which gives an agent a concrete path from search to this tool. It also notes that the rating summary is not exposed by the product-detail endpoint, implying a key reason to use reviews, though it does not explicitly list when not to use it.

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