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학과 찾기

search_major

Find university majors based on your interests, keywords, and academic field using official career data.

Instructions

관심 키워드·계열로 대학 학과를 탐색합니다. (출처: 커리어넷 공식 데이터)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNo관심 키워드 (예: 심리, 데이터)
fieldNo계열
interestNo흥미·관심 분야 서술
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states the tool explores departments and the data source. It omits whether the operation is read-only, required permissions, rate limits, or any side effects. As a search tool, the read-only nature is implied but not explicit.

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, well-formed sentence that conveys the core purpose and data source. Every element earns its place with 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?

For a search tool with three optional parameters and no output schema, the description is incomplete. It doesn't explain parameter combinations, result format, or behavior when multiple filters are applied. The source is mentioned but the agent lacks information on what to expect in the response.

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?

Schema coverage is 100% with descriptions for all three parameters. The tool description does not add meaning beyond the schema; it merely reiterates 'keyword·계열'. Therefore, the description meets the baseline but provides no additional semantic value.

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 the tool explores university departments by keyword and field. It uses a specific verb '탐색합니다' and resource '대학 학과', and the source is noted. The purpose is distinguished from sibling tools like get_major and search_university by focusing on exploration by keyword/field.

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?

No guidance is provided on when to use this tool versus its siblings (e.g., get_major, search_university). The description does not mention constraints, prerequisites, or when not to use it.

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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