autocomplete

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

No annotations are supplied, so the description carries the full behavioral burden. It only restates the three kinds of results and says nothing about minimum term length, prefix vs. substring matching, localization, or whether results are cached or ranked — the details an agent needs to call an autocomplete correctly.

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 with the key qualifier ('search-as-you-type') first and the result types following. No padding, though the colon-fragment style leaves the subject implicit.

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?

An output schema exists, so the description needn't explain return values, and tool complexity is low. Still, the one input parameter is undocumented everywhere and the sibling routing to search_products is left to inference, leaving a gap for an agent choosing between them.

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 one required parameter with 0% schema description coverage, and the description adds no meaning for 'term' — no indication of whether it is a prefix, partial word, or full query, nor any length or format constraints. With a real coverage gap, the description should compensate and does not.

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 names the resource concretely (suggested terms, matching categories, top products) and frames it as search-as-you-type, which separates it from a full product search. It is clear what the tool returns, though it never uses a verb like 'returns' or 'suggests' explicitly.

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?

'Search-as-you-type' implies the trigger condition (call while a user is still typing), but the description never states when not to use it or that search_products/search_products_guest is the alternative for actual result pages. Usage is inferable rather than stated.

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