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hlucent

construction-alert-mcp

by hlucent

search_construction_work_by_district

Search Seoul construction projects by district or project name to retrieve status, dates, addresses, and budget. Get filtered results directly from the Seoul Open Data API.

Instructions

서울시 건설 알림이 정보(ListConstructionWorkService)를 자치구명 또는 프로젝트명 키워드로 검색한다. 자치구명이 주어지면 API 서버가 직접 해당 구만 필터링해 반환한다. 프로젝트코드, 프로젝트명, 자치구, 착수일, 사업기간, 진행상태, 사무실/현장주소, 위경도, 사업금액 등을 반환한다. 이 도구의 결과를 사용해 답변할 때는 반드시 출처(서울 열린데이터광장, 데이터셋명)를 답변에 명시해야 한다. 출처 표시를 생략하는 것은 금지된다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo반환할 최대 결과 수 (기본 10). 검색은 항상 전체 데이터를 대상으로 하며, limit은 반환 개수만 제한한다.
gu_nameNo자치구명 (예: 종로구, 강남구). 지정하면 서버에서 해당 구만 필터링해 반환.
biz_nameNo프로젝트명(BIZ_NM)에 포함될 키워드

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It explicitly states that when gu_name is provided, the API server filters by that district, lists the returned fields, and imposes a mandatory source-citation rule for answers. This goes beyond a bare search description, though it omits details like pagination, errors, or data freshness.

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: it names the source and action first, then explains filtering behavior, return fields, and the citation requirement. Every sentence earns its place and there is no filler or repetition.

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?

For a tool with no output schema and no annotations, the description covers invocation and answer-citation behavior reasonably well. However, it lacks guidance for choosing between this and search_construction_projects, and it leaves open whether at least one of gu_name or biz_name must be supplied, which matters for correct usage.

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 schema already documents gu_name, biz_name, and limit. The description mostly restates the schema's server-side filtering behavior and keyword semantics rather than adding new meaning. It does not clarify whether the two search parameters are mutually exclusive or combinable.

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?

The description states a specific action (search), the resource (ListConstructionWorkService), the search keys (gu_name, biz_name), and the returned fields. However, it does not explicitly distinguish itself from sibling tool search_construction_projects, and allowing project-name keyword search creates overlap risk.

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 when to use the tool: when needing Seoul construction work information filtered by district or project keyword. It gives no explicit guidance about when not to use it, whether to prefer search_construction_projects, or whether gu_name and biz_name can be combined.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.