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scan_gitlab

Scan GitLab projects for leaked secrets using a personal access token, targeting a specific owner or group with optional repo and branch filters.

Instructions

Scan GitLab projects for leaked secrets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesGitLab personal access token
serverNoGitLab server URL (default: https://gitlab.com)
ownerYesGitLab group or user
repoNoProject name (optional, scans all if omitted)
branchNoBranch to scan (optional)
report_formatNon0s1
show_matched_secret_on_logsNoShow matched secret values in reports and logs (default: false)
ai_analysisNoQueue async AI credential validation after the scan (requires n0s1 Pro)
n0s1_api_keyNon0s1 API key; overrides the N0S1_TOKEN env var
Behavior2/5

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

No annotations provided, so the description carries the full burden. It discloses the authentication requirement (api_key) but does not explain whether the scan is read-only, what data is modified, rate limits, or return format.

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 a single concise sentence with no wasted words. However, it is too brief to convey the tool's full behavior, so it loses a point for under-specification.

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

Completeness2/5

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

Given the complexity (9 parameters, no output schema, no annotations), the description is incomplete. It does not explain the scanning workflow, how optional parameters affect behavior, or what the tool returns.

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 high (89%), so baseline 3 is appropriate. The description does not add any additional meaning beyond what the schema provides; it is a generic statement about scanning.

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?

The description clearly states the action (scan) and the target (GitLab projects for leaked secrets). It effectively distinguishes from sibling tools like scan_github or scan_asana by specifying GitLab.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. The context is implied by the tool name, but there is no mention of when not to use it or which sibling tool to prefer for other platforms.

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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