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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds only that the output is typeahead suggestions meant to seed a query — useful framing but no rate limits, partial-match behavior, or result-shape details beyond what the existing output schema would carry.

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 tight sentences with zero waste; the action is front-loaded and the routing hint follows immediately. Nothing repeats the name or title unnecessarily.

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?

Covers purpose, workflow position, and read-only nature adequately for a small 3-parameter tool with an output schema and annotations. The only minor gap is absence of any note on suggestion semantics or deduping, which is not essential to calling it correctly.

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%, so the q, limit, and types parameters are fully documented in the schema. The description adds no syntax, format, or defaulting nuance beyond referring to 'a search term'. Baseline 3 is appropriate when the schema carries the parameter burden.

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 (Fetch) and resource (Everlane typeahead suggestions) scoped to a search term, and distinguishes itself from everlane_products by naming it as the downstream catalog-browse tool. An agent can tell this is an autocomplete helper rather than a catalog search without opening the 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?

Clearly states the use case (guidance for a query) and the follow-up action (then call everlane_products to browse matching catalog items), which is explicit workflow guidance. It stops short of stating when NOT to use it, but the context is unambiguous.

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