cancel_workflow_run
AI agents call cancel_workflow_run to permanently remove resources in GitHub MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a workflow run is an irreversible action: a cancelled run cannot be resumed and any in-progress work is lost. This maps most closely to Destructive. Confidence is reduced because the description is empty and no further context is available.
From the tool's definition Tool name: cancel_workflow_run — description is empty, so classification is based on name alone.
Attacks that exploit this kind of access
cancel_workflow_run. It is categorised as a Destructive tool in the GitHub MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for cancel_workflow_run: 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 GitHub MCP Server. Nothing to install.
cancel_workflow_run 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_workflow_run 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_workflow_run. 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_workflow_run is provided by the GitHub MCP Server MCP server (software-engineer-mj/github-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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