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get_tdcc_opendata

Query Taiwan securities custody data by endpoint ID. Access shareholding distribution, stock custody changes, offshore fund NAVs, and e-voting information from TDCC OpenData.

Instructions

Query any TDCC OpenData endpoint by ID (通用 TDCC 開放資料查詢).

Covers all 100+ TDCC endpoints. Use endpoint_id like '1-1' for securities info, '2-41' for ETF analysis, '3-2' for offshore fund data, '5-4' for futures fund NAV, etc.

Available endpoint categories:

  • 1-x: Share administration (證券基本資料, 股權分散表, 債券, 私募...)

  • 2-x: Statistics (月分析表, 週餘額表, TAIBIR利率, 票券統計...)

  • 3-x: Offshore funds (基金基本資料, 淨值, 配息, 市場統計...)

  • 4-x: Offshore structured products (商品總覽, 參考價格, 配息...)

  • 5-x: Futures trust funds (基金總覽, 淨值, 銷售統計...)

  • 6-x: Shareholder e-voting (電子投票資訊, 投票比率統計)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_idYesTDCC endpoint ID, e.g. '1-1', '2-22', '3-4', '5-4'. See TDCC API docs for full list.
filter_fieldNoField name to filter on (exact Chinese field name from the API response).
filter_valueNoValue to match in the filter field (partial match).
limitNoMaximum number of records to return. Default 100.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It does not disclose behavioral traits such as read-only nature, rate limits, pagination, or error handling. Only 'Query' suggests non-mutating, but more details are needed.

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 front-loaded with the core purpose, followed by examples and a structured category list. Some redundancy in examples, but overall efficient and well-organized.

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

Completeness2/5

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

Given no output schema and no annotations, the description should cover return format, pagination, and authentication. It fails to do so, leaving the agent with insufficient context for a tool that queries 100+ endpoints.

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 coverage is 100%, and the description adds value by mapping endpoint_id categories (e.g., 1-x: Share administration). This helps the agent understand endpoint patterns beyond the schema examples.

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 verb 'Query' and the resource 'any TDCC OpenData endpoint by ID'. It provides numerous examples and a category breakdown, distinguishing it from the sibling tools which are specific endpoints.

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 implies usage for any TDCC endpoint not covered by specific sibling tools, but does not explicitly state when to use this over alternatives. The category listing aids in selecting appropriate endpoint IDs.

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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