AI agents call list_domains to retrieve information from Libvirt without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays information about virtual machine domains without modifying, creating, deleting, or executing any operations. It is a pure read operation with minimal blast radius if invoked by an agent—at worst, it exposes metadata about existing VMs.
From the tool's definition Tool name is 'list_domains' and description states it 'List[s] all domains on a libvirt host with state and basic metadata.' This is a query/enumeration operation with no side effects.
Attacks that exploit this kind of access
List all domains on a libvirt host with state and basic metadata. It is categorised as a Read tool in the Libvirt MCP Server, which means it retrieves data without modifying state.
Register the Libvirt MCP server in PolicyLayer and add a rule for list_domains: 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 Libvirt. Nothing to install.
list_domains is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_domains 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 list_domains. 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.
list_domains is provided by the Libvirt MCP server (rzippert/libvirt-mcp). 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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