ulta_product_questions

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

With no annotations, the description bears the full behavioral burden, and it discloses the important traits: only one page is returned, questions are normalized, and products with zero questions or well-formed but unrecognized IDs return a normal empty result rather than an error. It is informative about the correctness, but does not cover the output shape or whether any rate-limit/auth constraints exist, keeping it a step below the top.

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?

The three sentences are front-loaded with the purpose, then cover return shape and the critical edge cases, with zero redundancy. Each sentence earns its place and nothing is buried under preamble language.

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?

Given the tool's low complexity — two parameters, one required, no output schema — the description is fully sufficient: what it returns, where the key parameter comes from, the pagination behavior, and the empty-result edge case. An agent can pick and correctly invoke this tool without additional context.

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 coverage is 100% so the baseline is 3, and the description adds genuine value on top of what the schema says about product_id: that the ID can be harvested from a search result's product_id field or a product page URL, and that a well-formed but unknown ID triggers empty behavior. The page parameter's semantics (1-based, default 1) are already fully captured in the schema, so the description doesn't need to repeat it.

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 exact action and resource: it gets an Ulta Beauty product's customer questions, 'each with every answer it received.' It goes beyond a bare label by specifying the output shape ('one page... normalized') and implicitly differentiates the tool from siblings because nothing else in the ulta_/product space handles questions.

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 gives actionable guidance for how to use the tool: product_id should come from a search result's product_id field or the product page URL, which tells an agent exactly where to source the required argument. It also clarifies that an unrecognized ID yields an empty result, not an error, so an agent knows how to interpret outcomes. It does not explicitly call out alternatives like ulta_product_reviews or sephora_product_questions, so it stops short of a 5.

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