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scvcoder

korean-law-alio-mcp

by scvcoder

search_ftc_decisions

Search Korea Fair Trade Commission decisions using keywords. Filter by date, sort order, and result count to retrieve relevant rulings.

Instructions

[공정위] 공정거래위원회 결정문 검색.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
displayYes페이지당 결과 개수 (기본값: 20, 최대: 100)
pageYes페이지 번호 (기본값: 1)
sortNo정렬 옵션: lasc/ldes (법령명순), dasc/ddes (날짜순)
apiKeyNo법제처 Open API 인증키(OC). 사용자가 제공한 경우 전달
queryYes검색 키워드 (필수, 예: '담합', '불공정거래', '시정명령')
Behavior2/5

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

With no annotations provided, the description is the sole source of behavioral information. It merely states 'search' without detailing behaviors like pagination, rate limits, or return format. This is insufficient for an AI agent to understand side effects or constraints.

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

Conciseness3/5

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

The description is a single short sentence, which is concise but lacks structure. It does not front-load key information beyond the tool's domain, and could benefit from additional context without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of output schema and annotations, the description should provide more details about the search results, such as fields returned or expected behavior. It currently covers only the basic purpose, leaving the agent underinformed.

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 has 100% description coverage, so each parameter is already documented. The tool description adds no additional meaning beyond what is in the schema, so a baseline score of 3 is appropriate.

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 that this tool searches Fair Trade Commission decisions, which aligns with the tool name. However, it does not differentiate this tool from similar sibling tools like search_acr_decisions or get_ftc_decision_text.

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 on when to use this tool versus alternatives such as get_ftc_decision_text or other search tools. The description does not mention any prerequisites or exclusions.

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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