Cancel a running or paused pipeline.
AI agents call cortex_pipeline_cancel to permanently remove resources in Cortex MCP — 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 — once cancelled, the pipeline's execution state, progress, and queued work are lost and cannot be resumed. This is analogous to terminating a process: the operation cannot be undone, making it Destructive.
From the tool's definition Cancel a running or paused pipeline
Attacks that exploit this kind of access
Cancel a running or paused pipeline. It is categorised as a Destructive tool in the Cortex MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Cortex MCP server in PolicyLayer and add a rule for cortex_pipeline_cancel: 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 Cortex MCP. Nothing to install.
cortex_pipeline_cancel 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 cortex_pipeline_cancel 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 cortex_pipeline_cancel. 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.
cortex_pipeline_cancel is provided by the Cortex MCP server (neuralnexustech/cortex-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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