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AIFinder

AI 서비스 상세

get_ai_service
Read-onlyIdempotent

Get details of one AI service: Korean description, verified Korean support and trial conditions with plain-language evidence, pricing, platforms, login methods and links. Pass the key from search results or the service's official URL. 서비스 하나의 상세 정보(국문 설명, 한국어·체험 실측 근거, 가격, 링크)를 돌려줍니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyNoService key from search results, e.g. 'notion.so'
urlNoOfficial site URL, used when the key is unknown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond that: it discloses the content and character of the result (verified Korean support with plain-language evidence, trial conditions) and the key-vs-URL fallback for lookup.

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 English sentence is front-loaded with the verb and the returned fields, and the second sentence is short. The Korean restatement duplicates the same content rather than adding information, a minor redundancy cost.

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?

With no output schema, the description carries the return-value burden and does so by enumerating the result fields. Two optional parameters, read-only annotations, and an unambiguous single-service scope make this sufficient for correct invocation; only the key/URL precedence edge case is slightly under-explained.

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 description coverage is 100%, so both `key` and `url` are already documented, including the 'used when the key is unknown' fallback. The description restates this ('pass the key from search results or the service's official URL') without adding format or validation detail, so the baseline of 3 applies.

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?

States a specific verb+resource ('Get details of one AI service') and enumerates exactly what the payload contains: Korean description, verified Korean support and trial conditions, pricing, platforms, login methods, links. The scope word 'one' implicitly separates it from search_ai_services, but no sibling is named explicitly.

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?

It establishes the pipeline context by telling the agent to 'pass the key from search results or the service's official URL', which signals that this tool is the follow-up to search_ai_services. No exclusions or comparison against find_alternatives / compare_category are given.

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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