取消 Pipeline
AI agents call cancel_pipeline to permanently remove resources in GitLab MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a pipeline is an irreversible action that stops an in-progress pipeline. The pipeline cannot be resumed once cancelled; it must be re-triggered. This terminates running jobs and can disrupt deployments, making it a destructive operation with high blast radius in production environments.
From the tool's definition 取消 Pipeline (Cancel Pipeline) - cancels a running CI/CD pipeline
Attacks that exploit this kind of access
取消 Pipeline. It is categorised as a Destructive tool in the GitLab MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GitLab MCP Server MCP server in PolicyLayer and add a rule for cancel_pipeline: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GitLab MCP Server. Nothing to install.
cancel_pipeline is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cancel_pipeline rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for cancel_pipeline. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
cancel_pipeline is provided by the GitLab MCP Server MCP server (snowild/gitlab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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