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Edition Intelligence Platform

daily_life_search

Read-onlyIdempotent

Get practical knowledge on Japanese daily life: address systems, garbage sorting, utilities, and health insurance for foreigners.

Instructions

日本の日常生活に関する知識を検索します。住所・郵便システム、ゴミ分別ルール、公共料金(電気・ガス・水道・NHK)、医療・健康保険制度。外国人が日本で生活するために必要な実用知識。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes検索クエリ(例: 'ゴミの分別方法', '健康保険の加入', '引っ越しの手続き')
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the agent knows it's a safe, idempotent read operation. The description adds domain context but no additional behavioral traits beyond what the annotations provide.

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 two sentences, front-loading the action and listing topics concisely. Every sentence adds value without redundancy, making it efficient for an agent to parse.

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

Completeness4/5

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

Given the low complexity (one parameter, no nested objects), the description adequately covers the domain and parameter. However, missing an indication of return format (e.g., text or structured data) slightly reduces completeness.

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?

The single parameter 'query' has a schema description with concrete examples (e.g., 'ゴミの分別方法'), and the tool description reinforces the domain with example topics. This fully clarifies the parameter's intent and usage.

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 specifies the tool's function: searching for practical knowledge about Japanese daily life, covering specific topics like garbage sorting and health insurance. This distinguishes it from sibling search tools like disaster_search or food_search by its domain.

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

Usage Guidelines3/5

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

The description lists covered topics but does not explicitly state when to use this tool over alternatives or provide exclusions. While the domain is clear, there is no comparative guidance for the agent to decide between this and other search tools.

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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