AI agents call list_load_balancer_rules to retrieve information from CloudStack MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or queries existing load balancer rules from the CloudStack infrastructure without modifying, executing, deleting, or affecting any resources. This is a straightforward read-only operation typical of inventory or configuration inspection tasks.
From the tool's definition Tool name 'list_load_balancer_rules' and description 'List load balancer rules' indicate a query/retrieval operation with no modification of infrastructure.
Documented attack patterns abuse exactly the kind of access list_load_balancer_rules 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 list_load_balancer_rules:
{
"version": "1",
"default": "deny",
"tools": {
"list_load_balancer_rules": {}
}
}list_load_balancer_rules is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List load balancer rules. It is categorised as a Read tool in the CloudStack MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for list_load_balancer_rules: 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.
list_load_balancer_rules 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_load_balancer_rules 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_load_balancer_rules. 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_load_balancer_rules 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.