Executes arbitrary commands inside a running Docker container and returns structured output. WARNING: may execute untrusted code.
AI agents invoke exec to trigger actions in Lint. 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 allows execution of arbitrary commands within a containerized environment. While contained within Docker, arbitrary command execution remains a high-severity risk because: (1) it can spawn processes, modify files, exfiltrate data, or trigger further attacks within the container; (2) the 'arbitrary' qualifier means the tool has no built-in restrictions on what commands are run; (3) the explicit warning…
From the tool's definition Tool name 'exec' combined with description 'Executes arbitrary commands inside a running Docker container' and explicit warning 'may execute untrusted code' clearly indicates command execution capability.
Documented attack patterns abuse exactly the kind of access exec gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lint, and nothing reaches the server without passing your rules. This is the rule we recommend for exec:
{
"version": "1",
"default": "deny",
"tools": {
"exec": {
"limits": [
{
"counter": "exec_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}exec stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Executes arbitrary commands inside a running Docker container and returns structured output. WARNING: may execute untrusted code. It is categorised as a Execute tool in the Lint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lint MCP server in PolicyLayer and add a rule for exec: 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 Lint. Nothing to install.
exec 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 exec 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 exec. 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.
exec is provided by the Lint MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lint, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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202 Lint tools catalogued and risk-classified — across an index of 43,000+ MCP servers.