Skip to main content
Glama
ChangooLee

mcp-kr-g2b

by ChangooLee

get_nuri_scsbid_data

Retrieve private contract award data from Korea's Nuri marketplace. Search by date, agency, industry, or announcement number to get bid results.

Instructions

[누리장터 민간낙찰정보서비스] 조달청 나라장터 OpenAPI 조회 도구. operation 에 아래 오퍼레이션명(영문) 중 하나를 지정하고, params 에 해당 오퍼레이션의 조회조건을 dict 로 전달하세요. numOfRows/pageNo/type/serviceKey 는 자동 처리됩니다. 각 오퍼레이션의 정확한 파라미터/응답필드는 get_g2b_operation_info('nuri_scsbid', '') 로 확인하세요.

사용 가능한 오퍼레이션 (7개):

  • getPrvtScsbidListSttus: 민간 낙찰된 목록 현황 조회

  • getPrvtOpengResultListInfo: 민간 개찰결과 목록 조회

  • getPrvtScsbidListSttusPPSSrch: 나라장터 검색조건에 의한 민간 낙찰된 목록 현황 조회

  • getPrvtOpengResultListInfoPPSSrch: 나라장터 검색조건에 의한 민간 개찰결과 목록 조회

  • getPrvtOpengResultListInfoOpengCompt: 민간 개찰결과 개찰완료 목록 조회

  • getPrvtOpengResultListInfoFailing: 민간 개찰결과 유찰 목록 조회

  • getPrvtOpengResultListInfoRebid: 민간 개찰결과 재입찰 목록 조회

자주 쓰는 조회조건: inqryDiv(조회구분 코드, 보통 1=등록/공고일시), inqryBgnDt/inqryEndDt(YYYYMMDDHHMM 조회기간), bidNtceNo(입찰공고번호), dminsttNm(수요기관명), indstrytyNm(업종명), prdctClsfcNo(품목분류번호) 등. ⚠️ 날짜 기반 조회(inqryBgnDt/inqryEndDt 등)는 보통 한 번에 1개월 이내 범위만 허용됩니다. 기간이 길면 월 단위로 나눠 호출하세요. 'PPSSrch' 오퍼레이션은 bidNtceNm(공고명 일부)/indstrytyNm/추정가격 범위 등 상세 검색조건을 지원합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationYes오퍼레이션명(영문). 예: getPrvtScsbidListSttus (민간 낙찰된 목록 현황 조회)
paramsNo오퍼레이션별 조회조건 dict (예: inqryDiv, inqryBgnDt, inqryEndDt, bidNtceNo 등). 정확한 키는 get_g2b_operation_info 로 확인
fetch_allNoTrue 면 totalCount 까지 전체 페이지 수집, False 면 단일 페이지
num_of_rowsNo페이지당 결과 수(기본 500, 최대 999. 대량수집 시 요청수↓)
page_noNo페이지 번호. 지정하면 해당 페이지만 단건 조회
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool interfaces with an external OpenAPI, auto-fills certain parameters, supports pagination via fetch_all, and imposes a date range constraint. It does not explicitly state that the tool is read-only (no side effects) or describe error handling, but the behavior is largely transparent. The reference to get_g2b_operation_info for response fields is helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured: opening sentence identifies the tool, followed by usage instructions, a bullet-like list of operations, common parameters, and a warning. It is front-loaded with the main purpose. While it is relatively long (around 15 lines), each sentence adds useful information, so it is efficient rather than wasteful.

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 tool's complexity (7 operations, many parameters, external API), the description provides essential context: how to construct calls, where to find detailed schemas, common parameters, and limitations. It does not explain return values, but this is mitigated by referencing get_g2b_operation_info for response fields. The tool's place among siblings is partially clear, but more explicit differentiation would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the schema already describes each parameter. However, the description adds substantial value: it explains the purpose of each operation (in Korean), lists commonly used query parameters (inqryDiv, inqryBgnDt, etc.) with examples, and provides critical constraints (date range limits, differences between normal and PPSSrch operations). This goes well beyond the schema.

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 clearly states the tool is for querying the 'Minm private subcontract award information service' via the Public Procurement Service's KONEPS OpenAPI. It lists 7 specific operations with Korean descriptions, making the purpose concrete. However, it does not explicitly contrast with sibling tools like get_bid_data or get_scsbid_data, leaving some ambiguity about when to use this specific tool.

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 provides explicit instructions: specify 'operation' and 'params', explains that numOfRows/pageNo/type/serviceKey are auto-handled, advises using get_g2b_operation_info for exact parameters, lists commonly used parameters, and warns about date range limits (1 month) with guidance to split calls. This covers when and how to use the tool effectively.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ChangooLee/mcp-kr-g2b'

If you have feedback or need assistance with the MCP directory API, please join our Discord server