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saaskr — Korean SaaS Directory (한국 SaaS 디렉토리)

claim_korean_saas

saaskr 한국 SaaS 디렉토리: 이미 saaskr 에 올라와 있는 내 서비스의 소유권을 인증(클레임)한다. 사용자가 "내 서비스 saaskr 에 이미 있네, 내 걸로 인증해줘", "saaskr 정보 내가 고치고 싶어"라고 할 때 사용. 인증 토큰을 발급하고, 공식 사이트에 넣을 파일/태그를 알려준다. 사용자가 그 사이트의 코드·빌더에 접근할 수 있으면 AI 가 직접 파일(또는 meta 태그)을 추가·배포한 뒤 verify_korean_saas_claim 으로 확인하면 된다. 토큰만으로는 아무 권한도 없다 — 서비스 도메인에 게시돼야 인증된다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNosaaskr 의 서비스 slug(search_korean_saas/get_korean_saas 로 확인). slug 나 website_url 중 하나.
emailYes인증 후 메이커 콘솔에 로그인할 이메일 — 이 이메일의 구글 계정으로 로그인한다
website_urlNo서비스 공식 사이트 URL(slug 를 모를 때)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare readOnly=false, destructive=false, idempotent=false, but the description goes well beyond them: it issues a token, names the artifact (file or meta tag) to publish, states that the token alone grants no permissions until published on the domain, and clarifies that the AI may deploy the file directly when it has builder/code access. That is real workflow and authorization context the annotations cannot carry.

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 purpose is front-loaded and the flow (issue token → publish → verify) follows in logical order. It is slightly long, but each sentence contributes distinct information rather than restating the name or schema.

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?

No output schema exists, yet the description explains the full lifecycle a caller must drive, including the next tool to call and the condition that makes the claim valid. It is essentially complete for a 3-parameter, no-output tool, with only minor gaps around repeated-call behavior.

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 all three parameters (slug, email, website_url) are already documented with their purpose, including the email's role as the maker-console login. The description adds no syntax or format detail beyond what the schema states, so the baseline 3 applies.

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?

States a specific verb (claim/verify ownership) and resource (an already-listed service on the saaskr directory), with scope limited to existing listings. It names the sibling that completes the flow (verify_korean_saas_claim) and implies submit_korean_saas is for the not-yet-listed case, so an agent can place it without opening a schema.

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?

Gives explicit trigger phrases from the user ('my service is already on saaskr, verify it as mine'), which is strong when-to-use guidance, and routes to verify_korean_saas_claim as the follow-up step. It stops short of stating an explicit exclusion, e.g. 'use submit_korean_saas instead if the service is not listed', leaving that inference to the reader.

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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