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

The annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the description does not need to restate safety. It adds useful context by describing the returned payload, including dimensions, images, categories, and variant color/size/price/stock status, though it does not cover not-found errors or store-specific response differences.

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 a single, front-loaded sentence with no wasted wording. The parenthetical variant-sku note and the compact list of returned fields both earn their 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?

This is a simple read tool with rich annotations, complete schema coverage, and no output schema, and the description adequately describes the return payload. It is missing only edge-case behavior such as invalid sku handling or how the store parameter affects response language and currency.

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 100%, and the schema already documents the sku and store parameters in detail. The description adds meaningful semantic value by clarifying that a variant sku also works, which is not stated in the schema, but it does not add anything about the store parameter.

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 states a specific action and resource: full details for one product by sku, notes that a variant sku also works, and enumerates the returned data. It does not explicitly name search_products as the alternative, so sibling differentiation is implicit rather than explicit.

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?

Usage is implied: the tool is for retrieving full details after you have a sku, likely from search_products, and it explicitly accepts variant skus. However, it gives no explicit when-not guidance or named alternative, so the guidance is only moderate.

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