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sugukurukabe

japan-real-estate-intel

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Search the real estate data catalog using natural language queries to discover relevant areas, tools, and data sources.

Instructions

Search the real estate data catalog for areas, tools, and data sources. ChatGPT-compatible. | 不動産データカタログを検索し、関連するエリア・ツール・データソースの候補一覧を返す。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes検索クエリ(自然文OK。例: "名古屋 リニア", "東京 投資", "リスク 地震")
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds that the tool is 'ChatGPT-compatible' and returns a list of candidates, which provides minor behavioral context beyond annotations.

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 extremely concise with two sentences (one English, one Japanese). Every word is necessary and front-loaded with the core action.

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 single parameter, no output schema, and annotations, the description adequately covers the tool's purpose and input. It lacks explicit output format details, but for a search tool this is acceptable.

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?

Schema coverage is 100% with one parameter. The description's Japanese text provides example queries ('名古屋 リニア', etc.), adding practical meaning beyond the schema's own description.

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 the real estate data catalog for areas, tools, and data sources. It uses a specific verb and resource, and the Japanese version adds that it returns candidate lists. Although there is a sibling 'search_area_candidates', this tool's broader scope is evident.

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 general search of the catalog, but it does not explicitly state when to use this tool versus alternatives like 'search_area_candidates'. No when-not or alternative names are mentioned.

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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