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hiroshic9-png

Edition Intelligence Platform

food_search

Read-onlyIdempotent

Search Japanese food culture for dining etiquette, dish types, restaurant tips, and dietary restrictions.

Instructions

日本の食文化に関する知識を検索します。食事マナー(箸のタブー・乾杯・割り勘)、料理分類(懐石・定食・ラーメン・郷土料理)、飲食店ガイド(食券機・居酒屋・回転寿司・おまかせ)、アレルギー・食制限(ハラル・ベジタリアン対応)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes検索クエリ(例: '箸のマナー', 'ハラル対応レストラン', '回転寿司の注文方法')
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true; the description adds domain context (Japanese food culture topics) but does not disclose additional behavioral traits (e.g., no mention of pagination, response format, or any constraints beyond the schema).

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 a single, well-structured paragraph in Japanese, front-loaded with the purpose and then listing categories. Every sentence provides distinct information with no redundancy.

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?

For a simple search tool with one parameter, good annotations, and no output schema, the description sufficiently covers the tool's scope, domain, and example subtopics. No critical information is missing.

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 coverage is 100%, so the schema already documents the 'query' parameter with examples. The description repeats the examples implicitly, adding marginal value by grouping them into categories but not adding new semantic 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?

The description clearly states the tool searches for knowledge about Japanese food culture, listing specific subtopics (manners, dish categories, restaurant guides, allergies) that distinguish it from siblings like 'food_list' and 'daily_life_search'.

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 explicit guidance on when to use this tool versus alternatives (e.g., food_list, daily_life_search). The description implies usage for Japanese food queries but lacks when-not-to-use or alternative tool references.

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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