Power off all VMs in the range. Args: user_id: Optional user ID (admin only) Returns: Power off result
AI agents invoke power_off_range to trigger actions in Ludus FastMCP. 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.
Powering off all VMs in a cyber range is an execute-class operation that triggers an external infrastructure action (stopping virtual machines). While it does not permanently delete data, it disrupts all running systems in the range simultaneously.
From the tool's definition Power off all VMs in the range
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access power_off_range gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for power_off_range:
{
"version": "1",
"default": "deny",
"tools": {
"power_off_range": {
"limits": [
{
"counter": "power_off_range_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} power_off_range 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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Power off all VMs in the range. Args: user_id: Optional user ID (admin only) Returns: Power off result. It is categorised as a Execute tool in the Ludus FastMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ludus Fast MCP server in PolicyLayer and add a rule for power_off_range: 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 Ludus FastMCP. Nothing to install.
power_off_range 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 power_off_range 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 power_off_range. 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.
power_off_range is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 201 Ludus FastMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.