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Sora-bluesky

building-standards-act-mcp

by Sora-bluesky

search_law

Cross-search Japanese building standards laws by keyword. Queries registered aliases and e-Gov API for matching law titles.

Instructions

キーワードで建築関連法令を横断検索する。登録済みエイリアスとe-Gov APIの両方を検索する。注意: 検索対象は法令名(タイトル)のみ。条文本文のキーワード検索は不可。条文内の用語を探す場合は get_law で条番号を直接指定するか、get_full_law で全文取得してください。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes検索キーワード(例: 耐火構造、避難階段、建築確認)
Behavior5/5

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

No annotations are provided, but the description fully discloses the tool's behavior: it searches only law names/titles, not article text, and uses both registered aliases and the e-Gov API. The limitation is clearly stated.

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?

Two sentences, front-loaded with purpose, immediate limitations, and alternatives. Every sentence is informative and necessary.

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 the tool's complexity (search over multiple sources, sibling tools) and absence of output schema, the description provides sufficient context: domain (building laws), data sources, limitation, and referral to sibling tools. It is complete for an AI agent to decide when to use it.

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?

The schema provides a description of the 'keyword' parameter with examples. The tool description adds context about how the keyword is used (searches titles, both data sources) and explains the limitation. This adds value beyond the schema, though the schema already covers the parameter well.

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 it cross-searches building-related laws by keyword, searching both aliases and e-Gov API. It distinguishes itself from siblings like get_law and get_full_law by specifying the search scope (title only) and providing alternatives.

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?

Explicitly states when not to use this tool (for article text search) and points to alternative tools (get_law, get_full_law), providing clear usage guidance.

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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