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chals-go

KakaoCloud OpenAPI MCP Server

by chals-go

search_kakaocloud_api

Search KakaoCloud API by keyword to list related endpoints for managing cloud resources like VMs and VPCs.

Instructions

카카오클라우드 API를 키워드로 검색하여 관련 엔드포인트 목록을 반환한다.

Args:
    query: 검색어 (예: "VM 생성", "로드밸런서", "vpc subnet")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits such as rate limits, authorization requirements, or side effects. It only explains the function, leaving the agent uninformed about operational constraints.

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 short and to the point, with a docstring style. It uses minimal text to convey the core function, though it could be slightly more structured.

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

Completeness3/5

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

Given the presence of an output schema, the lack of return value description is acceptable. However, for a search tool, additional context about result ordering, limits, or search behavior would improve completeness.

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 0%, but the description adds example queries for the 'query' parameter, which helps understanding. However, it doesn't provide full semantic richness beyond examples, such as expected format or accepted values.

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 searches for KakaoCloud APIs by keyword and returns related endpoints. It uses specific verb 'search' and resource 'API'. However, it doesn't differentiate from siblings like get_api_detail, leaving some ambiguity.

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 on when to use this tool vs alternatives. It doesn't mention what scenarios are appropriate or when to use other tools like get_api_detail. No exclusions or comparisons provided.

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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