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sugukurukabe

japan-real-estate-intel

search_area_candidates

Read-only

Search for Japanese municipality names by partial text or hiragana input to find area candidates for real estate analysis.

Instructions

Search municipality name candidates by partial text. Supports hiragana. | 市区町村名の候補検索。部分文字列から有効な市区町村候補を返す。ひらがな対応。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prefectureNo都道府県名(例: 愛知県, 東京都)
queryNo市区町村名の一部(例: 名古屋, なごやしなか, 新宿)
limitNo最大候補数(1-20、デフォルト20)
Behavior3/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds hiragana support and partial text matching behavior, which is useful but not extensive. No details on output or side effects.

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 short sentences in English followed by Japanese translation. Front-loaded with the key purpose, no wasted words.

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

Completeness3/5

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

The description provides core purpose and a key feature, but lacks output format details. Without an output schema, the agent has no information about what the tool returns, which is a notable gap for a 3-parameter tool.

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 baseline is 3. The description adds hiragana support context, which reinforces the schema's example but does not add substantial new 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 verb 'Search' and the resource 'municipality name candidates', specifying partial text matching and hiragana support, which distinguishes it from sibling tools.

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 implies usage for searching municipality candidates but provides no explicit conditions for when not to use, no alternatives, and no prerequisites. Usage is inferred but not explicitly guided.

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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