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 genuine behavioral context beyond that: the exact result shape and the important caveat that Adidas has no separate term-autocomplete index, so suggestions are products rather than completed phrases. No rate limits or auth notes, but the typeahead 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?

Two sentences, front-loaded with the purpose and result shape, with the clarifying caveat second. No wasted words and nothing repeated from structured fields.

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-parameter typeahead tool with an output schema and read-only annotations, the description supplies everything an agent needs: what it returns, the partial-query semantics, and the caveat that results are products, not term completions.

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?

There is a single trivial 'query' string with 0% schema description coverage, but the description compensates by specifying it must be a partial query used for typeahead matching. That adds real meaning (partial vs. full query semantics) beyond the bare 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?

States a specific verb and resource ('search-as-you-type suggestions for a partial query') and describes the returned payload precisely (id, title, url, image, price). It also distinguishes itself from a plain search by noting these are product matches, not completed phrases, so an agent can differentiate it from adidas_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?

Clearly scopes usage to partial/typeahead queries ('search-as-you-type', 'partial query') and explains the nature of the response, which implies when to reach for it over adidas_search. However it never names adidas_search or any sibling explicitly as the alternative, so the when-not guidance is left to inference.

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