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

No annotations, so the description carries the full load — and it does disclose provenance (KBeauty Verified™, official records from MFDS/CosIng/FDA plus 7 export markets), a mandatory attribution/link obligation, and an explicit 'not a safety rating, lab test or medical advice' caveat. Missing only return-shape and pagination/empty-result behavior.

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 capability is front-loaded in a tight first sentence, but the remaining two sentences are a single run-on mixing licensing, a market-coverage inventory, and liability disclaimers. Useful content, yet the attribution and disclaimer material could be compressed without loss.

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 two-parameter search with no annotations and no output schema, the definition tells the agent what is searched, the result cap, the source of truth, and that each result carries a `url`/`cite` field. Adequate for correct invocation; only edge-case behavior (no hits, ranking order) is unaddressed.

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 0%, so the description must compensate — and it does: it explains that 'q' matches a word inside any of four distinct name fields, which the bare `string` type does not convey, and the '(up to 10)' mirrors the limit maximum. It doesn't state case sensitivity, minimum query length, or whether limit is optional.

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 (find) and resource (ingredients) plus the matching surface: INCI, common, trade or Korean name. That implicitly distinguishes it from lookup_ingredient (single exact lookup) and check_ingredient_list, though no sibling is named 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?

The phrase 'by a word in their ... name' implies substring search rather than exact match, and the '(up to 10)' cap signals a browse-style query. But it never states when to prefer lookup_ingredient or check_ingredient_list over this, nor what to do when no word matches.

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