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[유료] 주변 입지 분석

realty_poi_nearby
Read-onlyIdempotent

[유료] 좌표 주변의 지하철·학교·병원·마트 등 입지 요소를 거리순으로 조회한다.

단지 좌표는 realty_complex_report가 준다. "역세권인가", "초품아인가" 판단용.
최근접역 거리·반경 안 개수만 필요하면 무료 realty_location_scores의 location_facts로
충분하다 — 이 도구는 시설 **목록**(이름별 거리)이 필요할 때 쓴다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYes위도 — realty_complex_report의 latitude를 쓰라
lngYes경도
poi_typeNosubway | hospital | school — 쉼표로 조합 가능(예: 'subway,school'), 비우면 전체. 이 3종만 좌표 검색을 지원한다(마트·약국 등은 지역 통계 realty_poi_stats로)
radius_mNo반경(미터) (허용 범위 100~3000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": true,
      -  "title": "realty_poi_nearbyDictOutput",
      -  "type": "object"
      -}New value: +null
  2. Changed1 schema field changed
    • changedInput schema / properties / radius_m / description
      Previous value: -"반경(미터)"New value: +"반경(미터) (허용 범위 100~3000)"
  3. Changed1 schema field changed
    • changedInput schema / properties / poi_type / description
      Previous value: -"subway/schools/hospitals/marts 등, 비우면 전체"New value: +"subway | hospital | school — 쉼표로 조합 가능(예: 'subway,school'), 비우면 전체. 이 3종만 좌표 검색을 지원한다(마트·약국 등은 지역 통계 realty_poi_stats로)"
  4. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark this as read-only and idempotent. The description adds useful behavioral context: it is a paid tool, returns results sorted by distance, depends on coordinates from realty_complex_report, and only supports coordinate search for subway, hospital, and school. It does not detail the full response structure, but it does say it returns a facility list with distances.

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 compact and front-loaded: the main behavior appears first, followed by source-coordinate context, use-case framing, and alternative routing. Every sentence serves a purpose, with no filler or unnecessary repetition beyond the paid marker.

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?

There is no output schema, but the description compensates by explaining the return shape as a facility list with distances, noting the paid nature, providing coordinate provenance, and routing to alternatives. It is sufficient for an agent to select and invoke the tool correctly, though a precise response-structure note would make it fully complete.

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%, and the schema itself already explains latitude source, poi_type allowed values, combination syntax, and radius bounds/defaults. The tool description does not add much parameter-level meaning beyond the schema, so the baseline of 3 is appropriate.

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 a specific action: retrieve surrounding location factors such as subway, school, hospital, and mart around given coordinates, sorted by distance. It also distinguishes itself from siblings like realty_location_scores and realty_poi_stats by clarifying it returns a facility list, not aggregate scores or regional statistics.

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

Usage Guidelines5/5

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

The description gives explicit when-to-use guidance: use this tool when a facility list with distances is needed, and use the free realty_location_scores location_facts instead when only nearest-station distance or count-in-radius is required. It also points out that mart/pharmacy data belongs to realty_poi_stats, and that coordinates should come from realty_complex_report.

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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