Cancel one or more SLURM jobs by ID.
AI agents call cancel_jobs to permanently remove resources in Tacc Mcp Bio — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling SLURM jobs is an irreversible action — once a job is cancelled, its execution is terminated and any in-progress computation is lost. This cannot be undone, making it Destructive. Misuse by an AI agent could terminate long-running bioinformatics pipelines, wasting significant compute time and resources on an HPC cluster.
From the tool's definition Cancel one or more SLURM jobs by ID
Attacks that exploit this kind of access
Cancel one or more SLURM jobs by ID. It is categorised as a Destructive tool in the Tacc Mcp Bio MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Tacc Mcp Bio MCP server in PolicyLayer and add a rule for cancel_jobs: 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 Tacc Mcp Bio. Nothing to install.
cancel_jobs 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_jobs 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_jobs. 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_jobs is provided by the Tacc Mcp Bio MCP server (narasimhan-lab/tacc-mcp-bio). 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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