AI agents invoke run_command to trigger actions in E2b. 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.
This tool executes shell commands whose effects depend on the arguments provided. While sandboxed, commands can still cause significant side effects (file deletion, resource exhaustion, external network calls if enabled, data exfiltration). The blast radius is substantial if an AI agent is compromised or misaligned.
From the tool's definition Tool name 'run_command' and description 'Run a command in the sandbox' explicitly indicate execution of arbitrary commands in an isolated environment.
Attacks that exploit this kind of access
Run a command in the sandbox. It is categorised as a Execute tool in the E2b MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the E2b 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 E2b. 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 E2b MCP server (yukkit/e2b-mcp-server). 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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