run_command
AI agents invoke run_command to trigger actions in Tacc Mcp Bio. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool executes commands on a remote TACC/SLURM HPC cluster with effects dependent on the command arguments. This is an Execute category tool because it triggers external operations (shell commands on remote systems) whose consequences are determined by the AI agent's input. Severity is high because misuse could consume computational resources, modify files, or interfere with other users' jobs on a shared cluster.
From the tool's definition Tool name 'run_command' paired with server description stating it enables 'remote script execution' and 'job submission' on HPC clusters; sibling tools include job management and file operations, confirming this tool executes arbitrary commands on remote…
Attacks that exploit this kind of access
run_command. It is categorised as a Execute tool in the Tacc Mcp Bio MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tacc Mcp Bio MCP server in PolicyLayer and add a rule for run_command: 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.
run_command is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_command 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 run_command. 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.
run_command 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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