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나라장터 입찰 MCP

search_bids

나라장터 입찰공고를 검색한다. 공고명·기관 키워드, 기간, 업무구분(공사/용역/물품/외자), 지역, 추정가격 범위로 필터링. 수집된 공고만 검색된다(수집은 매시간). 반환: 공고번호, 공고명, 수요기관, 추정가격, 입찰마감일시, D-day, 원문 링크.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo최대 건수 (기본 20, 최대 100)
regionNo참가제한지역 키워드 (예: 서울, 경기)
keywordNo공고명·공고기관·수요기관 키워드
to_dateNo공고일 끝 (YYYY-MM-DD)
categoryNocnstwk=공사, servc=용역, thng=물품, frgcpt=외자
from_dateNo공고일 시작 (YYYY-MM-DD)
max_priceNo추정가격 상한 (원)
min_priceNo추정가격 하한 (원)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
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 adds a meaningful non-obvious behavior: only collected notices are searchable and collection occurs hourly, and it also lists the returned fields. It does not mention pagination or rate limits, but the key freshness/scope caveat is clearly disclosed.

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 well-ordered: purpose first, then filters, then the data-freshness caveat, then return fields. Every sentence carries useful information with no filler or repetition.

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?

For an 8-parameter optional search tool with no output schema and no annotations, the description supplies the returned fields and a critical data-freshness caveat, and the schema covers parameter formats. Minor gaps such as result ordering and how filters combine remain, but the definition is largely complete for invoking the tool correctly.

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?

The input schema already documents all 8 parameters with descriptions, so the baseline is 3. The description's filter summary adds a helpful overview and aligns with the schema's enum and price/date fields, but it provides no new parameter-level semantics beyond what the schema already states.

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 clear verb and resource ('나라장터 입찰공고를 검색한다') and enumerates filter dimensions, making the tool's scope obvious. It does not explicitly differentiate itself from sibling tools like get_bid_detail or search_pre_specs, so it falls just short of full sibling distinction.

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?

There is no guidance about when to choose this tool over siblings such as get_bid_detail, watch_bids, or analyze_history. The only context given is the data-freshness caveat that only hourly-collected notices are searchable, but no alternatives or exclusions are mentioned.

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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