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

No annotations are provided, so the description carries the disclosure burden. It usefully reveals the input language constraint (Chinese) and the shape of the output (risk items plus improvement suggestions), which is more than nothing, but it omits any note on permissions, limits, or whether results are informational versus diagnostic.

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?

A single compact sentence, bracket-tagged with its domain (Taiwan health info) and front-loaded with the input requirement before the processing logic. Dense but not padded.

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 one-parameter tool with no output schema, the description covers both the input format and the nature of the returned content (risk items and improvement suggestions), which is sufficient for correct invocation. Only minor gaps around data sourcing or caveats remain.

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?

With 0% schema description coverage, the description must compensate, and it does: it clarifies that the single 'meal' parameter accepts either one meal or a full day's food and must be supplied in Chinese. That adds real semantic meaning beyond the bare string-typed schema.

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 — assessing a meal's cancer risk by comparing it against IARC classifications — and enumerates the risk categories it flags (processed meat, red meat, alcohol, betel nut). This is clearly differentiable from siblings like check_cancer_screening_eligibility, which concerns screening eligibility rather than dietary risk analysis.

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 when to use it (when you have a meal or daily food intake to assess for carcinogenic risk) and constrains the input format, but it never states when NOT to use it or names an alternative tool such as the screening-eligibility sibling. Usage is inferable but not explicit.

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