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

With all annotation hints false or absent, the description carries the behavioral burden. It discloses the ask_doctor fallback, the exclusion of child-suitability assessment, and that operational telemetry records no arguments or results—useful behavioral context beyond the schema.

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?

Three tightly scoped sentences cover the action, prerequisites, return values, limitations, and telemetry. The core purpose is front-loaded, and every sentence adds new information without fluff.

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 three-enum lookup with a provided output schema, the description is nearly complete: it explains input provenance, exact-match requirements, output contents, and safety caveats. The only minor omission is explicit no-match/error behavior, which is likely handled by the output schema and is not critical here.

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. It clarifies product_id/concentration as requiring an exact bottle/concentration match and connects label_band to age/weight restrictions only indirectly. The enum values are largely self-explanatory, but label_band is not explicitly mapped.

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 opens with a specific verb and object ('Look up one public label row') and identifies where the identifiers come from, distinguishing it from list_calculator_bottles. It also lists exact return contents, so an agent knows precisely what this tool does.

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 states a clear prerequisite: use identifiers from list_calculator_bottles and require an exact bottle/concentration match. It also flags a non-goal ('Does not determine suitability for a child'), which helps prevent misuse, though it does not explicitly name alternative tools or exhaustive when-not-to-use cases.

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