무료 회원 가입 안내
get_signup_link회원 가입(무료, 구글 로그인) 주소와 본 MCP 연결 방법을 돌려줍니다. 가입은 사용자가 브라우저에서 직접 진행합니다. 맛보기 한도를 쓰지 않습니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| agent | No | 이 도구를 부르는 AI 에이전트 · 서비스 이름(예: Claude, ChatGPT). 밝히시면 하루 한도가 늘어납니다 |
get_signup_link회원 가입(무료, 구글 로그인) 주소와 본 MCP 연결 방법을 돌려줍니다. 가입은 사용자가 브라우저에서 직접 진행합니다. 맛보기 한도를 쓰지 않습니다.
| Name | Required | Description | Default |
|---|---|---|---|
| agent | No | 이 도구를 부르는 AI 에이전트 · 서비스 이름(예: Claude, ChatGPT). 밝히시면 하루 한도가 늘어납니다 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare read-only, idempotent, non-destructive, and closed-world behavior. The description adds two facts annotations cannot convey: signup happens in the user's browser, and calling this tool does not consume the trial quota. That quota detail is exactly the kind of context an agent needs before offering the link.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is three short sentences, and the main return value is front-loaded. Each sentence adds a distinct fact: the return contents, who performs the signup, and the quota impact. Nothing is wasted, though it is slightly terse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description must explain the return value, and it does: the signup address and MCP connection method. It also covers who performs signup and the quota side effect. It does not describe the shape of the response, but for a simple zero-required-parameter read, this is nearly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the 'agent' parameter is fully described in the schema, including the daily-limit benefit. The description never mentions the parameter or that it is optional, so it adds nothing beyond the schema. That makes 3 the correct baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a concrete verb and resource: it returns the free signup (Google login) URL plus instructions for connecting this MCP. That is more specific than the title alone. It does not explicitly contrast itself with the nearby 'get_plan_options' sibling, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the usage situation: a user who wants to sign up or connect, and it clarifies that the user completes signup in a browser. It never states when not to call this tool or which sibling to use instead, such as list_reports or get_plan_options, so usage remains inferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.