Start a virtual machine by its ID. Optionally allow memory overcommit.
AI agents invoke vm_start to trigger actions in Truenas. 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.
Starting a virtual machine executes an operation that triggers external hypervisor actions and state changes. While not destructive or financial in nature, this falls under Execute because it runs a system command/operation whose effects (VM startup, resource allocation) depend on the provided ID argument.
From the tool's definition Tool name 'vm_start' and description 'Start a virtual machine by its ID' indicates execution of a VM operation. The optional 'memory overcommit' parameter shows this triggers external system operations with effects dependent on arguments.
Documented attack patterns abuse exactly the kind of access vm_start gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Truenas, and nothing reaches the server without passing your rules. This is the rule we recommend for vm_start:
{
"version": "1",
"default": "deny",
"tools": {
"vm_start": {
"limits": [
{
"counter": "vm_start_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} vm_start 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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Start a virtual machine by its ID. Optionally allow memory overcommit. It is categorised as a Execute tool in the Truenas MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Truenas MCP server in PolicyLayer and add a rule for vm_start: 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 Truenas. Nothing to install.
vm_start 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 vm_start 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 vm_start. 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.
vm_start is provided by the Truenas MCP server (spranab/truenas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Truenas, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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279 Truenas tools catalogued and risk-classified — across an index of 43,000+ MCP servers.