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 that the result is a flat list of suggested search phrases with no product data, which is useful scoping, but since an output schema exists this overlaps with the structured return definition rather than adding deeper behavioral context (no rate limits, latency, or result-count notes).

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?

A single front-loaded sentence that identifies the tool first and layers the qualifiers ('same Top Suggestions list', 'no product data') afterward. Efficient with no wasted clauses, though the em-dash aside is slightly ornate.

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 only one parameter and an output schema present, the description covers the necessary ground—what it returns and that it excludes product data. It is adequately complete for a simple autocomplete tool, missing only explicit sibling-routing guidance.

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 0%, so the description must carry the load for the single 'query' parameter. It does contribute the key insight that the query may be partial, but gives no format, length, or example details beyond that, leaving some compensation gap at the baseline.

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—Nike's search-box typeahead suggestions for a partial query—and explicitly names the exact artifact ('Top Suggestions' list). The clause 'no product data' cleanly separates it from nike_search and nike_product, so an agent can tell them apart without opening schemas.

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 phrase 'for a partial query' and 'shown while typing' implies the intended use (autocomplete/build-as-you-type), which is useful context. However, it never explicitly states when to prefer this over nike_search or other siblings, so the routing 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.