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kewelin

taiwan-data-mcp

by kewelin

taiwan_company_search

Search Taiwan company registration by name or keyword. Returns company ID and responsible person. Data source: Ministry of Economic Affairs.

Instructions

用公司名稱(或關鍵字)搜尋台灣公司,回傳符合的公司清單與其統一編號、負責人。要拿到完整資料請接著用 taiwan_company_profile 查統編。資料來源:inc.com.tw(經濟部公司登記)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes公司名稱或關鍵字,例如「台積電」「鴻海精密」
Behavior3/5

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

With no annotations provided, the description carries the full burden. It describes the return type and data source but does not disclose potential behavioral traits like rate limits or destructive actions. It is adequate for a search tool but lacks depth.

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

Conciseness5/5

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

Two sentences, front-loaded with purpose, no wasted words. Extremely concise and well-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 tool's simplicity (single parameter, no output schema, no annotations), the description is complete: it explains the purpose, output, next steps, and data source. Minor improvement could be adding behavior details.

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 schema already describes the parameter 'name' with examples, and the description does not add substantial new meaning beyond what the schema provides. Baseline 3 is appropriate.

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 action (search), the resource (Taiwanese companies by name/keyword), the output (list with unified number and responsible person), and distinguishes from sibling by directing to taiwan_company_profile for complete data.

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 clear context for when to use this tool and explicitly mentions the alternative (taiwan_company_profile) to get complete data. It does not explicitly state when not to use, but the guidance is sufficient.

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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