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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds the error behavior for unknown IDs ('returns a not-found error'), which is useful context beyond the annotations. It doesn't mention auth or rate limits, but the added error semantics justify a 4.

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, no waste. The return contents are front-loaded, then the ID semantics, then the failure mode in a logical order. 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 single-param read tool with an output schema, the description is nearly complete: what comes back, what the ID is, where it comes from, and what happens on miss. Minor gap is that it doesn't hint at whether variants are nested or which fields are optional, but the output schema covers returns.

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%, so the description must carry the param. It defines product_id as the Adidas SKU, gives a concrete example (JI0397), and states its provenance from adidas_search. That is exactly the meaning an agent needs and goes well beyond the bare string type.

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 verb (retrieve detail) and resource (Adidas product for one SKU), and enumerates exactly what is returned: name, brand, category, description, pricing, images, and size variants. An agent can distinguish this from adidas_search without opening either schema.

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?

Explicitly ties this tool to adidas_search output ('product_id ... taken from an adidas_search result's products[].id field'), which routes the agent correctly. No explicit when-not-to-use or sibling alternative for variant/review lookups, but the context is strong.

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