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

With no annotations, the description carries the full burden and does substantial work: it names the data source, mandates attribution and exact-URL linking, and explicitly disclaims that the data is not a safety rating, lab test, or medical advice. It omits pagination/return-shape detail, but the behavioral context is well beyond typical.

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 clause, and the trailing attribution/disclaimer text is compliance-relevant rather than filler. It is slightly dense with boilerplate, but every sentence carries information an agent needs to use the data legally and correctly.

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 search tool with no annotations and no output schema, the description covers purpose, source, data nature, attribution duties, and limitations. The only real gap is the shape of results beyond the mentioned url/cite fields, which is minor for a discovery tool.

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: 'a word in the product or brand name' maps to q, 'optionally within one brand' maps to brand, and '(up to 10)' conveys the limit cap. Semantics are conveyed even though exact parameter names are not tied to descriptions.

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 states a specific verb and resource ('Find K-beauty products'), names the search scope (a word in the product or brand name), and clarifies the optional brand restriction and result cap. It does not explicitly differentiate from siblings like get_product or search_ingredients, so it falls short of a 5, but the purpose is unambiguous.

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 explains what the tool returns and how to cite it, but gives no guidance on when to use it instead of the alternatives (get_product for a known item, search_ingredients for ingredients). 'Optionally within one brand' hints at narrowing, but there are no exclusions or alternative routing.

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