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台灣健康資訊

check_blood_glucose

判讀單次血糖值(mg/dL),when 為 fasting(飯前)或 after_meal(飯後),回傳是否在一般控制目標內與低血糖處理。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whenNo
valueYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the result is a target-range judgement plus hypoglycemia handling, and clarifies the mg/dL unit, but says nothing about out-of-range response behavior, validity bounds for the value, or whether any action is recommended beyond treatment guidance.

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 dense sentence that front-loads the action and resource before the parameter and return details. No filler, though the two clauses could be split for faster scanning.

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

Completeness4/5

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

For a simple two-parameter interpretation tool with no output schema, the description covers purpose, both parameters, and the nature of the returned values. Only the numeric validity range and threshold specifics are left implicit, which is minor for this tool class.

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

Parameters4/5

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, and it does: it gives the unit for value (mg/dL) and supplies the semantic meaning of both enum members (fasting=飯前, after_meal=飯後), which the bare enum values do not convey. It does not specify an acceptable numeric range for value.

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

Purpose5/5

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

States a specific verb (判讀/interpret) and resource (單次血糖值, single glucose reading), names the unit (mg/dL), and describes the return (whether within general control target plus hypoglycemia handling). No sibling shares this resource domain, so an agent can distinguish it immediately from check_home_blood_pressure and the cancer-related siblings.

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

Usage Guidelines2/5

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

No when-to-use, when-not-to-use, or prerequisite guidance is given. The resource domain differs from every sibling, which provides implicit routing, but the description never states the scenario in which interpreting a single reading is appropriate versus the other check_* tools.

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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