ulta_suggest

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

With no annotations provided, the description carries the full behavioral burden and does so well: it discloses the composed return shape (suggested terms, product matches, featured top result) and the important edge-case behavior that a no-match query returns an empty result rather than an error. It does not cover auth or rate limits, but for a simple read-only suggest tool this is reasonable disclosure.

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?

It is front-loaded with the core action and every subsequent sentence adds distinct information: what the response contains, the featured-result behavior, and the no-match behavior. There is no filler or repetition of the parameter schema.

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 suggest tool with no output schema, the description adequately sets expectations about both the payload shape and the empty-match result. It is complete enough for correct selection and invocation; detailed field-level return typing is not necessary at this complexity.

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% and the single 'query' parameter is already described as a 'Partial search term'. The description restates and reinforces that meaning but adds no syntax, format, or length details beyond the schema, so baseline 3 is appropriate.

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 uses a specific verb ('Get') with a resource ('Ulta Beauty search suggestions') and details the result structure: suggested search terms, top product matches, and a featured result. It clearly distinguishes this from general search tools like ulta_search and from dozens of other retailers' suggest tools by anchoring it to Ulta Beauty's own typeahead behavior.

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 description explicitly states the input is a partial search term, which makes the intended autocomplete use case clear. It does not explicitly name alternatives such as ulta_search, but the partial-term context plus the 'typeahead' framing gives enough context that an agent would not use this for full product searches.

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