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oldbear-meme

mcp-taiwan-legal-db-integrated

by oldbear-meme

search_pcc_letters

Search official interpretations and letters on Taiwan's Government Procurement Act from the Public Construction Commission. Filter by keyword, article number, law name, or date to find relevant official opinions.

Instructions

搜尋行政院公共工程委員會「政府採購法規解釋函令及相關函文」(工程會函釋)。

供採購法疑義、釋疑案、章則或分層負責審查引用採購法(及其子法)函釋時查證。 查的是本地快取(離線、零延遲),伺服器啟動時每 7 天自動增量更新。 回摘要清單,取全文用 get_pcc_letter。法規不限政府採購法,亦含 「機關委託技術服務廠商評選及計費辦法」等子法,可用 law_name 篩。

Args: keyword: 主旨+說明全文關鍵字(例:機關首長、契約變更、開口契約) article_no: 採購法條號(例:22、63、101、22-1) law_name: 法規名稱關鍵字(例:政府採購法、評選及計費辦法) letter_no: 發文字號模糊比對(例:工程企字) date_from: 發文日期下限(西元 ISO,例:2020-01-01) date_to: 發文日期上限(西元 ISO) only_active: 只回現行有效(排除停止適用),預設 True max_results: 筆數上限(預設 20) offset: 分頁偏移

Returns: {success, total, returned, results:[{letter_id, letter_no, law_name, articles, subject, issue_date_roc, status}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNo
article_noNo
law_nameNo
letter_noNo
date_fromNo
date_toNo
only_activeNo
max_resultsNo
offsetNo
Behavior4/5

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

Discloses key behaviors: local cache, zero latency, auto-updates every 7 days on server start, returns summary list. No annotations exist, so description carries burden. Does not mention potential staleness or permissions, but sufficient for a search tool.

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?

Structured with clear sections: purpose, cache details, scope, then Args. Front-loaded with essential info. Slightly verbose but every sentence adds value given the number of parameters.

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?

Given 9 parameters, no output schema, and no annotations, the description is very complete. Explains return format, pagination, filtering options, and links to related tool. No gaps identified.

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?

Schema coverage is 0%, but description includes an Args section detailing all 9 parameters with examples and format hints (e.g., ISO dates, article_no like '22-1'). Adds significant meaning beyond the schema.

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?

Clearly states it searches PCC letters (government procurement law interpretations). Uses specific verb '搜尋' and resource '工程會函釋'. Differentiates from siblings by mentioning local cache and linking to get_pcc_letter for full text.

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?

Describes when to use: for procurement law interpretation queries and citation verification. Mentions scope includes sub-laws. Implicitly excludes full-text retrieval (use get_pcc_letter). Lacks explicit exclusions but provides strong context.

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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