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narumiruna

Taiwan Legislative Yuan MCP Server

by narumiruna

get_vote_meets

Fetches legislative vote meeting records from Taiwan's Legislative Yuan, with optional filters for date, term, session, and other criteria.

Instructions

取得特定表決所屬的會議列表。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo日期,格式:YYYY-MM-DD
pageNo頁數,預設1
termNo屆,例:11
limitNo每頁筆數,預設20,建議不超過100
memberNo出席委員姓名
bill_noNo關係文書中的議案編號
meet_idNo會議資料中的會議編號
sessionNo會期,例:2
vote_idYes表決代碼,例:1150101_00002_55
law_numberNo關係文書中的法律編號
meeting_codeNo會議代碼,例:院會-11-2-6
meeting_typeNo會議種類,例:院會
output_fieldsNo自訂上游回傳欄位列表
committee_codeNo委員會代號,例:23

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must disclose behavioral details. It only states the action without mentioning side effects, permissions, pagination behavior, or output format. The lack of any such information leaves the agent uncertain about the tool's runtime characteristics.

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 a single, concise sentence with no redundancy. It directly conveys the tool's purpose without unnecessary details, making it efficiently scannable.

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

Completeness3/5

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

The tool has an output schema (as indicated), so return value explanation is not required. However, the description lacks contextual information such as typical use cases or relationship to other tools, which would enhance completeness. Given the simplicity of the operation, this is adequate but not comprehensive.

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?

Although the description does not elaborate on parameters, the input schema provides detailed descriptions for all 14 parameters, achieving 100% coverage. Since schema coverage is high, a baseline score of 3 is appropriate; the description adds no extra semantic 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?

The description clearly states the function: retrieving the list of meetings for a specific vote. It uses a specific verb ('取得' / get) and resource ('特定表決所屬的會議' / meetings belonging to a specific vote), distinguishing it from sibling tools like get_vote or list_meets.

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?

The description provides no guidance on when to use this tool versus alternatives, such as get_vote, list_votes, or get_meet. It does not mention use cases, filtering preferences, or scenarios where this tool is preferred.

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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