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taux-io

TWSE OpenAPI MCP Server

by taux-io

twse_describe_dataset

View complete field definitions for a TWSE dataset. Use this to identify which columns to filter or project before fetching data.

Instructions

查看某個資料集的完整欄位定義,取資料前用來確認要過濾/投影哪些欄位。

Args: dataset_id: 來自 twse_search_datasets 的代號,例如 "exchangeReport/STOCK_DAY_ALL"。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the tool returns field definitions and implies read-only behavior, but does not explicitly state that it is non-destructive or discuss auth/rate limits.

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?

The description is very concise with two clear sentences. The first sentence states the purpose, and the second explains the parameter usage. No extraneous information.

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

Completeness5/5

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

With an output schema provided, the description does not need to explain return values. It covers the tool's role in the workflow (use before fetching data) and is complete for a simple schema-inspection tool.

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

Parameters5/5

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

The only parameter dataset_id is described with a source (來自 twse_search_datasets) and an example ('exchangeReport/STOCK_DAY_ALL'), adding significant value beyond the schema's type-only definition.

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 it is for viewing complete field definitions of a dataset, with a specific verb ('查看') and resource ('資料集的完整欄位定義'). It distinguishes itself from siblings like twse_search_datasets (searching) and twse_get_dataset (presumably fetching 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 explicitly says to use it before fetching data to confirm which fields to filter/project (取資料前用來確認要過濾/投影哪些欄位). It provides clear context but does not include when-not-to-use or explicit alternatives.

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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