Delete a network
AI agents call delete_network to permanently remove resources in CloudStack MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes network infrastructure, which cannot be undone and would disrupt connectivity for dependent virtual machines and services. The destructive nature of network deletion in a production CloudStack environment makes it high severity.
From the tool's definition Tool name is 'delete_network' with description 'Delete a network'. The verb 'delete' indicates irreversible removal of infrastructure resources.
Attacks that exploit this kind of access
Delete a network. It is categorised as a Destructive tool in the CloudStack MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for delete_network: 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 CloudStack MCP Server. Nothing to install.
delete_network is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_network 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 delete_network. 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.
delete_network is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-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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