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

With no annotations, the description carries the full burden. It usefully discloses official data sources (MFDS, CosIng, FDA, plus 7 export markets), a non-safety/non-medical disclaimer, and a mandatory citation requirement, but omits operational traits such as read-only status, freshness window, pagination, and rate limits.

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 purpose is front-loaded, followed by attribution and source/caveat information. Every part serves a purpose, though the long attribution/disclaimer clause makes it denser than necessary.

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?

No output schema exists, but the description identifies per-result url/cite fields and explains data sources and limitations. It still lacks full return-shape and freshness/pagination detail, though the tool's complexity is low.

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?

The only parameter, limit, has 0% schema description coverage. The description says '(up to 10)' but does not explain the limit parameter itself, its default, or that lower values are allowed, so it only minimally compensates for the missing schema description.

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 set of resources: latest official rule changes, K-beauty recalls/alerts, and newly checked products, capped at 10. It does not explicitly differentiate this recency feed from siblings like search_recalls or official_sources, but the purpose is clear from the content described.

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 implies this is the recency feed, but it gives no explicit when-to-use or when-not-to-use guidance versus search_recalls, official_sources, or other siblings. The instruction about naming KBeauty Verified™ concerns attribution after use, not tool selection.

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