check_meal_cancer_risk
輸入一餐或一天吃的東西(中文),比對 IARC 致癌分級與防癌飲食建議,列出加工肉品、紅肉、酒精、檳榔等風險項目與改善建議。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| meal | Yes |
輸入一餐或一天吃的東西(中文),比對 IARC 致癌分級與防癌飲食建議,列出加工肉品、紅肉、酒精、檳榔等風險項目與改善建議。
| Name | Required | Description | Default |
|---|---|---|---|
| meal | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose the processing logic (IARC comparison, prevention guidelines) and the shape of the output (risk items plus improvement suggestions), which is more than nothing. However, it says nothing about whether the input is stored, whether it is purely informational vs. medical advice, or any limitations of the assessment.
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 sentence structured as input format first, then processing, then output contents. Front-loaded and free of filler, though it is dense enough that it could be split for readability.
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, annotation-free, output-schema-free tool, the description covers input format, processing basis, and output categories. The main residual gap is behavioral framing (advice vs. diagnosis, data handling), which is minor for this tool's scope.
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 coverage is 0% and there is a single 'meal' parameter, so the description must compensate. It does, by specifying the expected content is natural-language food description in Chinese and that the granularity can be one meal or a whole day, which the bare string schema does not convey.
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 names a specific action (compare a meal against IARC carcinogen tiers and prevention guidelines) and a concrete output (risk items like processed meat, red meat, alcohol, betel nut plus improvement advice). It is clearly distinct from siblings such as check_blood_glucose or check_cancer_screening_eligibility, though it never names a sibling explicitly.
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?
Usage is only implied by the input phrasing ('input what you ate for a meal or a day'). There is no statement of when to prefer this over get_counseling_guide or check_cancer_screening_eligibility, and no exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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