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

No annotations are provided, so the description carries the burden and does well: it discloses that answers come only from KBeauty Verified records with sources, that it reports official MFDS/CosIng/FDA positions, and explicitly disclaims that it is not a safety rating, lab test, or medical advice. It omits rate limits, latency, and behaviour when no record matches.

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 core purpose is front-loaded in the first sentence, followed by source, attribution requirement, and scope disclaimers. All content earns its place, though the attribution/linking instruction mid-paragraph interrupts the task-oriented flow slightly.

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 no output schema and no annotations, the description must stand alone, and it covers source, answer provenance, citation fields (url/cite), and scope limits. It is close to complete for a one-parameter tool, lacking only expected answer shape or multi-record/pagination behaviour.

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 0% and the single 'question' parameter is undocumented in the schema, so the description must compensate. It does specify the language (English) and the accepted topic scope (ingredients, products, sunscreen filters, recalls, Korea/EU/US cosmetic rules), which meaningfully constrains valid input.

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+resource (ask a question about K-beauty ingredients, products, sunscreen filters, recalls, or cosmetics rules) and scopes the answer domain to KBeauty Verified records. It differentiates by function from the lookup/search siblings, though it never explicitly contrasts itself with search_ingredients or lookup_ingredient.

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?

Usage is implied: open-ended English questions answered from official records, with the source explicit. But there is no guidance on when to prefer this over the sibling search/lookup tools, nor any refusal/fallback behaviour for questions outside the K-beauty scope.

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