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gitbosung

open-ALIO-mcp

by gitbosung

compare_institutions

Compare up to five Korean public institutions using the same indicators. Filter by category, item query, and year range for targeted analysis.

Instructions

2~5개 기관을 동일 지표로 비교합니다. (설계서 §4-1 ③)

org_codes: search_institutions로 얻은 instCd 목록 (2~5개). item_query로 비교 항목을 좁히면 응답이 가벼워집니다. 예: '부채', '정원', '기본급'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_codesYes
categoryYes
item_queryNo
year_fromNo
year_toNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as read-only nature, response format, pagination, or rate limits. Only basic behavior is implied.

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?

Very concise, two sentences plus an example. Information is front-loaded with the purpose.

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 5 parameters, no output schema, and no annotations, the description is insufficient. It misses explanation for year_from/year_to, category, and output structure. Also lacks guidance on when to use this vs similar tools like get_institution_metrics.

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?

Schema coverage is 0%, so description must add meaning. It explains org_codes (list from search_institutions, 2~5 items) and item_query with examples. However, category, year_from, and year_to are not explained in detail.

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 it compares 2~5 institutions using the same indicator, with a reference to design document. It distinguishes from siblings implicitly as a comparison tool, but does not explicitly differentiate.

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?

It explains when to use (comparing 2~5 institutions) and provides a hint to use item_query to lighten response. However, it lacks explicit when-not-to-use or alternative tools.

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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