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kewelin

taiwan-data-mcp

by kewelin

taiwan_drug_info

Look up detailed drug information by Taiwan drug license number: ingredients, indications, usage, dosage form, drug category, NHI price, recall status, and supply shortage. Data from Taiwan FDA.

Instructions

用藥品許可證字號查該藥詳情:主成分、適應症、用法、劑型、藥品類別/管制分級、健保價、是否被回收、供應短缺狀態。資料來源:衛福部食藥署 · health-hub。用藥請依醫師、藥師指示。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
license_noYes藥品許可證字號,例如「衛署藥輸字第024600號」(可先用 taiwan_drug_search 取得)
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It states the data source and what information is returned, but lacks details on error handling (e.g., invalid license number) or any restrictions.

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?

The description is concise, using two sentences to cover purpose, data source, and a suggestion for prior use. No unnecessary information, but the list of fields could be more structured.

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?

Given the simple query nature with one parameter and no output schema, the description adequately explains what the tool returns (list of fields). It mentions the data source, making it contextually complete for typical use.

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?

The input schema covers the single parameter 'license_no' with a description of its format and source. The tool description does not add additional semantic value beyond the schema, so performance is adequate.

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?

The description clearly states the tool's purpose: querying drug details using a license number. It lists specific fields like active ingredient, indications, usage, etc., and distinguishes from sibling tool 'taiwan_drug_search' by stating the input source.

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

Usage Guidelines4/5

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

The description provides a clear usage flow: use 'taiwan_drug_search' first to obtain the license number. It does not explicitly exclude alternative uses, but the context is sufficient for an agent to understand when to invoke this tool.

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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