AI agents use resize_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.
Resizing a volume modifies storage configuration in a cloud infrastructure context. This is a write operation because it alters an existing resource's properties reversibly. The severity is high because incorrect resizing could impact application performance, cause service disruption, or lead to data access issues if undersized.
From the tool's definition Tool name 'resize_volume' and description 'Resize a volume' indicate modification of existing cloud storage resources. The action is reversible (can be resized again to different dimensions), distinguishing it from destructive operations.
Documented attack patterns abuse exactly the kind of access resize_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 resize_volume:
{
"version": "1",
"default": "deny",
"tools": {
"resize_volume": {
"limits": [
{
"counter": "resize_volume_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}resize_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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Resize a volume. 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 resize_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.
resize_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 resize_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 resize_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.
resize_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.