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shuji-bonji

Houki e-Gov MCP Server

by shuji-bonji

get_law

Retrieve specific articles from Japanese laws using official names or abbreviations. Specify article, paragraph, and item numbers for precise results.

Instructions

日本の法令から条文を取得する。略称(消法・所法・労基法 等)対応。条/項/号レベル指定可能。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
atNo時点指定。YYYY-MM-DD 形式。例: "2024-04-01" でその時点の条文を取得(e-Gov v2 対応)
itemNo号番号。省略時は項全体
formatNo出力形式。"markdown"=条文全文(デフォルト), "toc"=目次のみ(トークン節約), "json"=構造化markdown
articleNo条番号。例: "30", "30の2"。format="toc" の場合は省略可
law_nameYes法令名または略称。例: "消費税法", "消法", "労基法", "民法"
paragraphNo項番号。省略時は条文全体
Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits like read-only nature, authentication needs, or any side effects. It does not mention the e-Gov v2 dependency from the parameter description.

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 short and to the point, with no unnecessary words. It is concise but could be better structured with clear separation of key features.

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?

With no output schema and multiple parameters, the description lacks completeness. It does not explain return formats, date specification, or how the 'toc' format works, leaving critical gaps for effective use.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds minimal value beyond what the schema already provides, only briefly mentioning abbreviation support and level specification.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves articles from Japanese laws and supports abbreviations and level specification. However, it does not distinguish itself from sibling tools like get_toc or search_law.

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?

No guidance is provided on when to use this tool compared to alternatives such as search_law or get_toc. The description lacks explicit usage 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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