Cancel a running job.
AI agents call cancel_job to permanently remove resources in ESMfold MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a running job permanently stops its execution and any partial results are lost. This is irreversible (the job cannot be resumed), making it Destructive. Severity is medium because it destroys in-flight computational work but does not affect stored data or infrastructure.
From the tool's definition Cancel a running job — cancellation is an irreversible action that terminates an in-progress job and discards its intermediate results, which cannot be undone.
Attacks that exploit this kind of access
Cancel a running job. It is categorised as a Destructive tool in the ESMfold MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ESMfold MCP Server MCP server in PolicyLayer and add a rule for cancel_job: 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 ESMfold MCP Server. Nothing to install.
cancel_job 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_job 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_job. 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_job is provided by the ESMfold MCP Server MCP server (macromnex/esmfold_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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