kroger_product_reviews

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states this is a read operation returning one page of reviews, enumerates the exact data fields, and explicitly discloses that customer display names are not returned—a useful behavioral caveat. It does not mention rate limits, error conditions, or what happens when a UPC has no reviews, but the core behavior is well disclosed.

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 two sentences with no wasted words. It front-loads the core purpose, enumerates the return fields efficiently, and adds the important caveat about display names in a single final sentence. Every sentence earns its place.

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 paginated review-fetching tool with no output schema, the description adequately covers what the agent needs: the required identifier (UPC), the pagination behavior, the return fields, and the notable exclusion of display names. It could mention what happens with invalid UPCs or empty review sets, but the core calling contract is complete.

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 the schema already documents all three parameters (upc, page, page_size). The description adds context that page is one-based and page_size is 1-100, which is already in the schema. The description's mention of 'one page' reinforces the pagination semantics but doesn't add significant meaning beyond 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?

The description clearly states the tool retrieves a Kroger product's customer reviews, enumerates the specific data fields returned (review text, star rating, recommendation flag, helpful-vote counts, customer photo URLs, star histogram), and explicitly notes that customer display names are deliberately excluded. This is a specific verb+resource with enough detail to distinguish it from sibling review tools like costco_product_reviews or adidas_product_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 implies usage context: it requires a UPC to identify the product, and the pagination parameters (page, page_size) indicate it returns one page at a time. However, it does not explicitly state when to prefer this over alternatives like kroger_product or kroger_search, nor does it mention any exclusions or prerequisites beyond the required UPC.

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