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

Annotations already cover the read-only, open-world profile, and the description adds genuinely new behavior: that a web_id with zero reviews returns a genuine zero-result rather than an error. That edge-case disclosure is valuable and goes beyond structured fields, though pagination size is left to the schema.

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?

Three sentences, front-loaded with the resource and its field contents, with the identifier provenance and zero-result caveat following logically. No filler, though the field enumeration is somewhat dense.

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 an output schema present, the description is nearly complete: it covers resource identity, identifier provenance, and the zero-result edge case. Return shape is left to the output schema as permitted, so nothing critical is missing.

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 100%, so a baseline of 3 applies; the description earns above that by semantically linking web_id to the kohls_category products[].web_id field, telling the agent where the value originates. Page semantics remain entirely in the schema.

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?

States a specific resource ('One page of a Kohl's product's normalized customer reviews') and enumerates exactly what each review contains (title, text, rating, secondary ratings, reviewer info, date, photos). An agent can distinguish this from the other *_product_reviews siblings by brand alone.

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?

Gives clear context for when/how to obtain the required web_id ('the same identifier a kohls_category response's products[].web_id field carries'), routing the agent through the prerequisite tool. It does not state explicit exclusions or recommend alternatives, so it stops short of a 5.

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