kroger_product

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

With no annotations, the description carries the burden. It does disclose that data is sourced from the product page's own schema.org structured data, hinting at potential incompleteness if that data is absent. However, it does not discuss error handling, rate limits, or authentication. It adds some value beyond a bare statement, but not comprehensive.

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, front-loaded with the core purpose, and lists the returned fields efficiently without extraneous words. Every clause contributes meaning.

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 simple one-parameter product fetcher with no output schema, the description covers the essential return fields and data source, which is sufficient for an agent to invoke it correctly. However, it omits any edge-case behavior (e.g., missing schema.org data), and given the large sibling set, more usage guidance would improve completeness, though this is not critical for the tool's simplicity.

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% and the schema already describes 'upc' as 'Kroger product UPC/id (the last path segment of the product page URL)'. The description reinforces the singular scope ('one Kroger item') but adds no new parameter-specific detail, so baseline 3 is appropriate.

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 verb 'Get' and the resource 'Kroger product', and explicitly lists the returned fields (title, description, image, brand, category trail, price/availability, rating). It differentiates from siblings like kroger_products (plural) and kroger_product_reviews by focusing on a single normalized product detail.

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 provides no guidance on when to use this tool instead of the many related Kroger tools (e.g., kroger_products, kroger_search, kroger_product_reviews). It does not mention any conditions or alternatives, leaving the agent to infer usage from the tool name alone.

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