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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the field-level content ('normalized detail') but discloses nothing about error behavior, pricing freshness, or rate limits. Acceptable but not rich beyond the annotations.

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?

Two sentences, front-loaded with the return payload, followed by the parameter provenance. No filler, every clause carries information.

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?

With an output schema present, the description need not explain return structure, and it correctly focuses on the one input's provenance. It is nearly complete for a single-param read tool, missing only explicit sibling routing.

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 coverage is 0% and the single parameter is undocumented in the schema, yet the description fully compensates: it explains UPC is the numeric id from a product page's /p/ URL and is also returned by kroger_search. That is exactly the disambiguation an agent needs to supply the right value.

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 exactly what the tool returns for a single Kroger product, enumerating the concrete fields (title, description, image, brand, category trail, price/availability, rating). An agent can immediately distinguish this single-product detail fetch from list/search siblings like kroger_products or kroger_search.

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 tells the agent where the required upc comes from — a /p/ product URL or kroger_search's products[].upc — which implies the natural search-then-detail flow. It does not explicitly contrast against siblings such as kroger_product_reviews or kroger_products, so usage context is clear but not fully routed.

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