gitlab_auth_status
Check stored GitLab instance tokens and view ongoing registration sessions.
Instructions
저장된 인스턴스 토큰 목록 및 진행 중인 등록 세션 확인
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check stored GitLab instance tokens and view ongoing registration sessions.
저장된 인스턴스 토큰 목록 및 진행 중인 등록 세션 확인
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states the tool's purpose. It does not disclose safety (read-only vs mutating), side effects, prerequisites, or what happens if no tokens/sessions exist. Minimal behavioral insight.
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?
The description is a single, concise sentence with the key verb and resource front-loaded. No extraneous words or repetition. Every part earns its place.
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?
Although the tool has no parameters and no output schema, the description fails to mention the return format or structure of the results. An agent needs to know what 'token list' and 'registration sessions' look like (e.g., array of objects, status fields). This gap limits effective use.
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?
There are zero parameters, so schema coverage is 100%. The description adds value by explaining what the tool does in context, which is necessary since the schema is empty. Baseline 4 is appropriate.
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?
The description clearly states the tool's purpose: to check saved instance tokens and ongoing registration sessions. It uses a specific verb ('check') and resource ('tokens and sessions'), and distinguishes itself from the sibling 'gitlab_auth_start' which initiates registration.
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 usage for verifying authentication status but does not explicitly state when to use it (e.g., after starting a session) or when to avoid it (e.g., when no token exists). No alternatives are mentioned despite having a sibling auth tool.
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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