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oldbear-meme

mcp-taiwan-legal-db-integrated

by oldbear-meme

search_legal_interpretations

Search Taiwan's legal interpretations database by keyword, filter by document type (e.g., constitutional interpretations, court decisions), and paginate results. Supports boolean operators for precise queries.

Instructions

搜尋司法院法令判解系統(legal.judicial.gov.tw/FINT)。

可搜尋大法官解釋、憲法法庭裁判、決議、法律問題、精選裁判、行政函釋等。 與 get_interpretation / search_interpretations 的差異:

  • 本工具查詢線上「法令判解系統」,支援全文關鍵字搜尋,可跨多個資料類型

  • get_interpretation 查詢的是離線快取的大法官解釋/憲判字

doc_type 可填以下中文名稱或留空(空白 = 全部類型): 憲法法庭裁判、大法官解釋、大法官不受理決議、司法解釋、 大法庭專區、停止適用之判例、精選裁判、決議、法律問題、行政函釋

分頁說明:每次最多回傳 max_results 筆,使用 offset 跳過前幾筆。 例如取第 21-40 筆:max_results=20, offset=20。

Args: keyword: 關鍵字(法院名稱、裁判案號、案由、全文檢索字詞)。支援布林運算:+(或)、-(不含)、&(且)、()(組合),例如「不完全給付&瑕疵擔保」 doc_type: 資料類型篩選,空白表示搜尋全部類型 max_results: 最多回傳筆數(預設 20,上限 200) offset: 跳過前幾筆(分頁用,預設 0)

Returns: {success, keyword, doc_type, categories(各類筆數), total_count, results, cached, timestamp} results 每筆含:doc_type, title, date, summary, ty, id, url

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes
doc_typeNo
max_resultsNo
offsetNo
Behavior5/5

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

Despite no annotations, the description fully discloses behavior: it is a search tool returning results with specific structure, lists supported doc types, and explains query syntax and pagination. No destructive actions hidden.

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?

Well-structured with clear sections (intro, differences, doc_type list, pagination example, args, returns). Slightly lengthy but all content is useful; could be trimmed without losing clarity.

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?

Complete coverage: source website, query syntax, all parameter details, pagination, return format (fields). No output schema exists, but description fills that gap. Adequate for a complex search 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?

Schema coverage is 0%, but the description provides comprehensive meaning for all parameters: keyword with boolean operators, doc_type with valid values and default, max_results with default and max, offset with pagination use.

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 a specific online legal database and enumerates the types of documents it can retrieve. Explicitly differentiates from get_interpretation and search_interpretations by describing scope and source.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use this tool versus siblings: it is for online full-text search across multiple document types, while get_interpretation is for offline cache. Also explains pagination with example.

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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