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sugukurukabe

japan-real-estate-intel

用途地域情報

get_zoning_info
Read-only

Look up zoning regulations for Japanese areas: zone type, building coverage ratio, floor area ratio, and height limits. Assess development constraints for real estate planning.

Instructions

Look up zoning (用途地域) for an area: zone type, coverage ratio (建蔽率), floor area ratio (容積率), and height limits. | 用途地域・建蔽率・容積率・高さ制限を返す。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaYesTarget area (e.g. '名古屋市中区', '新宿区') | 対象エリア
districtNoSpecific district (e.g. '栄', '西新宿') | 地区名
prefectureNo都道府県名(和名/英名/ISO 3166-2 コード対応)愛知県
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 the specific data returned (zone type, ratios, height limits), which provides useful context but does not disclose additional behavioral traits like rate limits or authentication needs.

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 (one English, one Japanese) that immediately state the purpose and returned fields. Every sentence is essential, and there is no extraneous information.

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 simple nature of the tool (read-only, 3 parameters, no output schema), the description adequately covers what the tool does and what it returns. It lists all the key return values, making it sufficient for an agent to understand the tool's capabilities.

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 description coverage is 100%, so the baseline is 3. The description does not add significant meaning beyond what the schema already provides for the three parameters (area, district, prefecture). The schema definitions are sufficiently detailed.

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 'look up' and the resource 'zoning for an area', listing specific returned fields (zone type, coverage ratio, floor area ratio, height limits). This distinguishes it from sibling tools like 'audit_zoning_compliance' or 'get_chochou_profile' which serve different purposes.

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?

The description provides no guidance on when to use this tool versus alternatives such as 'audit_zoning_compliance' or 'get_chochou_profile'. It does not specify prerequisites, exclusions, or recommended scenarios.

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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