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chain_alio_benchmark

Benchmark a public institution in Korea by combining its profile, topic-matched regulations, and peer gap analysis into one comprehensive report.

Instructions

[ALIO 체인] 한 기관 벤치마킹 종합 — 프로파일 + 토픽 매칭 규정 + 동종 기관 갭 분석을 한 번에. '우리 기관 ○○ 측면 어떤가?' 시작점.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
institutionYes기준 기관 (apbaId 또는 이름) — '우리 기관'
topicNo관심 토픽 키워드 (예: '인사', '징계'). 생략 시 분류 분포 기준
maxYes각 섹션 최대 표시 (기본:8)
similarityThresholdYes동종 규정 매칭 유사도 하한
Behavior3/5

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

No annotations provided, so description carries burden. It mentions the tool is a chain combining profile, topic matching, and gap analysis, but discloses no behavioral traits (e.g., read-only, destructive, rate limits). It gives high-level functionality only.

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 a single sentence that efficiently conveys the tool's purpose, with the essential elements front-loaded. Could be slightly more structured, but no wasted words.

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?

Despite clear inputs, the description lacks details about the output format or structure. As a chain tool with no output schema, it leaves a significant gap in understanding what the agent will receive.

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?

Input schema descriptions already cover 100% of parameters. The tool description does not add meaning beyond what schema provides; it only restates the parameters' roles. Baseline 3 is appropriate.

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 it is a comprehensive benchmarking tool for an institution, combining profile, topic matching regulations, and peer gap analysis. It distinguishes from siblings like 'suggest_alio_benchmark' by being a 'chain' that does all three at once.

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 it is a starting point for benchmarking, but does not explicitly state when to use versus alternatives like 'suggest_alio_benchmark' or other chain tools. No guidance on when not to use.

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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