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台灣健康資訊

check_cancer_screening_eligibility

依年齡、性別、吸菸、嚼檳榔、家族史,列出台灣 115 年可做的公費癌症篩檢(子宮頸、乳、大腸、胃、口腔、肺)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageYes
sexYes
betelNo
smokerNo
indigenousNo
pack_yearsNo
family_lungNo
family_colorectalNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full disclosure burden. It conveys the input-driven, eligibility-listing nature and the year-115 program scope, but omits result format, any age/eligibility boundary behavior, and whether partial inputs yield partial results. Adequate but thin for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with the resource and screening list front-loaded and no filler. It is efficient, though the parameter enumeration is embedded rather than structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter tool with no annotations and no output schema, the description should clarify the less obvious inputs (pack_years, indigenous) and at least sketch the return shape. It covers the broad strokes but leaves meaningful gaps around the most decisive lung-screening parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so descriptions must compensate. The description names age, sex, smoking, betel and 'family history' (loosely covering family_lung/family_colorectal), but never explains indigenous status or pack_years, both of which materially affect lung-screening eligibility. Partial compensation only.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (list) and resource (Taiwan publicly funded cancer screenings) with the six screening categories enumerated, so the agent knows exactly what comes back. It does not name or contrast any sibling, but the siblings (blood glucose, blood pressure, meal risk) are unrelated enough that differentiation is not strictly needed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the phrasing 'based on age, sex, smoking, betel, family history' tells the agent these inputs drive the lookup, but there is no explicit statement of when to prefer this tool or when it is inappropriate (e.g., for non-Taiwan residents, or ages outside the program).

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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