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compare_alio_regulations

Compare internal regulations across Korean public institutions by topic such as blind hiring or disciplinary actions. Select specific institutions or compare across all collected automatically.

Instructions

[ALIO] 토픽(블라인드채용·휴직·징계 등) 기준 기관간 규정/조문 비교. institutions 생략 시 수집된 전체 기관 자동. 사용자가 'A·B·C 기관과 비교' 같이 특정하면 해당 명칭/코드를 institutions 에 전달.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes비교할 주제 키워드 (예: '블라인드 채용', '휴직', '징계')
institutionsNo비교 대상 기관코드/기관명 (선택). 생략 시 수집된 전체 기관에서 토픽 매칭 자동 추출. 사용자가 'A, B 기관과 비교'처럼 특정하면 해당 명칭/코드를 배열로 전달.
maxPerInstitutionYes기관당 최대 히트 규정 수
Behavior3/5

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

With no annotations, the description carries the full burden. It explains that the tool compares regulations based on topic and handles parameter defaults, but does not disclose whether the operation is read-only, any potential side effects, or what happens if no matches are found.

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 a single, front-loaded sentence that efficiently conveys the tool's purpose and usage. No unnecessary words 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 a tool with no output schema and no annotations, the description is fairly complete, covering parameters and behavior. However, it does not describe the output format or how comparisons are presented, leaving some gaps.

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

Parameters4/5

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

The input schema covers all parameters with descriptions. The description adds value by explaining the behavior of the 'institutions' parameter when omitted and how users can specify institutions, going beyond the schema.

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

Purpose5/5

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

The description clearly states the tool compares regulations between institutions based on a topic. The verb 'compare' and resource 'regulations' are specific, and it distinguishes from other sibling compare tools like 'compare_alio_articles' by focusing on regulations/provisions.

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?

The description explains when to omit the 'institutions' parameter (automatic use of all collected institutions) and how to specify particular institutions. It provides clear usage context, though it does not explicitly mention when not to use this tool or alternatives.

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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