remove_from_load_balancer_rule

Remove virtual machines from load balancer rule

SERVERCloudStack MCP Server SOURCEmozg31337/cloudstack-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/mozg31337-cloudstack-mcp-server/remove-from-load-balancer-rule.md

WHAT IT DOES

What remove_from_load_balancer_rule does on CloudStack MCP Server

AI agents use remove_from_load_balancer_rule 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.

RISK

Why remove_from_load_balancer_rule is rated Medium

This tool removes VMs from a load balancer rule, which is a reversible configuration change (VMs can be re-added). It modifies network configuration state but does not delete data irreversibly, making it a Write operation. Misuse could cause service disruption by removing VMs from load balancing rotation, hence medium severity.

From the tool's definition Remove virtual machines from load balancer rule

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs remove_from_load_balancer_rule safely

PolicyLayer is an MCP gateway: it sits between your AI agents and CloudStack MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For remove_from_load_balancer_rule, this is the rule to start with:

remove_from_load_balancer_rule Rate-limited

remove_from_load_balancer_rule 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "remove_from_load_balancer_rule": {
      "limits": [
        {
          "counter": "remove_from_load_balancer_rule_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CloudStack MCP Server, apply this rule, and every remove_from_load_balancer_rule call is checked against it from then on.

FAQ

Questions about remove_from_load_balancer_rule

What does the remove_from_load_balancer_rule tool do? +

Remove virtual machines from load balancer rule. 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.

How do I enforce a policy on remove_from_load_balancer_rule? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for remove_from_load_balancer_rule: 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.

What risk level is remove_from_load_balancer_rule? +

remove_from_load_balancer_rule is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit remove_from_load_balancer_rule? +

Yes. Add a rate_limit block to the remove_from_load_balancer_rule 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.

How do I block remove_from_load_balancer_rule completely? +

Set action: deny in the PolicyLayer policy for remove_from_load_balancer_rule. 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.

What MCP server provides remove_from_load_balancer_rule? +

remove_from_load_balancer_rule 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.

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