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

With no annotations, the description carries the full behavioral burden and does well: it discloses that the list is not stored, that results link to exact source pages, the underlying registries (MFDS, CosIng, FDA, plus 7 export markets), and that the output is not a safety rating. It omits operational traits such as rate limits, handling of unparseable lists, and result shape when nothing is flagged.

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 and the attribution requirement are front-loaded, which is good. However, the 'not a safety rating' disclaimer is stated twice and the licensing/attribution sentence is long, so a portion of the text does not earn its place.

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 multi-jurisdiction regulatory lookup with no output schema, the description covers inputs, data sources, scope, licensing obligations, and interpretive limits. What's left unstated — the shape of a result with no flags, and the effect of the sunscreen flag — is minor but not trivial.

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 100%, so the schema already explains both properties. The description reinforces the ingredient-list input format but says nothing about the `sunscreen` flag, which materially changes which U.S. filter rules apply — a missed opportunity beyond the schema baseline.

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 and resource — paste a printed ingredient list and get, per jurisdiction (Korea, EU, U.S.), which listed ingredients are prohibited or carry limits/conditions, with links. This clearly separates it from single-ingredient siblings like lookup_ingredient and search_ingredients because the input is a whole label list.

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 input format ('paste an ingredient list as printed on a label') plus explicit exclusions ('not a safety rating, a lab test or medical advice') tell the agent when this tool fits and when its output should not be over-interpreted. It never names a sibling alternative, so it stops short of full routing guidance.

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