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syleedlabs

deal-locator-mcp

by syleedlabs

실거래 이력

deal_history
Read-onlyIdempotent

Retrieve transaction history for commercial properties in Seoul, showing each deal with a reliability score, sorted by recency. Specify an address and optional month range.

Instructions

지번의 매칭 실거래 이력 전체(최신순) — 각 건에 매칭 신뢰도 표기.

서울 상업업무용 매매 한정. months(1~60) 기본 24개월. 재거래·가격 추이를 계산할 때는 텍스트가 아니라 structuredContent 의 transactions[] 를 읽을 것 (건별 신뢰도가 다를 수 있다).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthsNo
addressYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
queryYes
sourceYes
statusYesOK 일 때만 transactions 에 실측값이 있다.
addressNo
messageNostatus != 'OK' 인 사유
buildingNo매칭 앵커가 된 건축물대장 표제부.
transactionsYes최신순(deal_date 내림차순). 건별 신뢰도가 다를 수 있으니 각 건의 confidence 를 볼 것.
lookup_statusNo도메인 원본 상태(거래있음/거래없음/표제부없음 …)
period_monthsYes
cancelled_countNo제외된 해제신고 건수
transaction_countYes
lowest_confidence_scoreNo이력 중 최저 신뢰도. 이력 전체를 한 덩어리로 인용할 땐 이 값 기준으로 고지할 것
Behavior4/5

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

Annotations indicate read-only, idempotent, non-destructive. Description adds: scope (Seoul commercial office), months default, and instruction to read structuredContent for accurate data. No contradiction; description adds useful 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?

Description is very concise with three short sentences covering purpose, scope, parameters, and a critical usage instruction. No fluff; every sentence earns its place.

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 output schema exists, description does not need to explain return values. It sufficiently covers scope, parameters, and data usage (structuredContent). Could mention output language or potential pagination, but overall complete for a tool with rich annotations and schema.

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 has 2 parameters with 0% coverage. Description explains months range (1-60) and default, and that address is a land lot (지번). Adds value beyond schema but could be more detailed on address format or other constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it provides matched real transaction history for a land lot, newest first, with confidence, and specifies scope: Seoul commercial office sales. It distinguishes itself from siblings by its specific data and usage instruction to read structuredContent for trends, but does not explicitly contrast with 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 Guidelines4/5

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

Provides guidance on when to use: for recalculating trends, use structuredContent.transactions[], not text. Also specifies months range (1-60) and default 24. Does not explicitly state when not to use or alternatives, but the structuredContent instruction is a clear guideline.

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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