AI agents use detach_volume to create or update resources in CloudStack MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CloudStack MCP Server environment.
Detaching a volume is a reversible operation: the volume remains intact and can be re-attached. It modifies the configuration of a VM and volume relationship without destroying any data, making it a Write-category action. Misuse could cause service disruption if a running VM loses access to its data volume, hence medium severity.
From the tool's definition 'Detach volume from virtual machine' — removes an attachment between a volume and VM, but does not delete the volume or its data
Documented attack patterns abuse exactly the kind of access detach_volume gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CloudStack MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for detach_volume:
{
"version": "1",
"default": "deny",
"tools": {
"detach_volume": {
"limits": [
{
"counter": "detach_volume_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}detach_volume stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Detach volume from virtual machine. It is categorised as a Write tool in the CloudStack MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for detach_volume: 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.
detach_volume is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the detach_volume 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 detach_volume. 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.
detach_volume is provided by the CloudStack MCP Server MCP server (phantosmax/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CloudStack MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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45 CloudStack MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.