configure_application_load_balancer

WHAT IT DOES

What configure_application_load_balancer does on CloudStack MCP Server

AI agents use configure_application_load_balancer 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.

WHY IT NEEDS A POLICY

Why configure_application_load_balancer needs a policy

This tool modifies infrastructure configuration (application load balancer settings) in a reversible manner. It creates or updates load balancer configuration, which is characteristic of Write operations. While it affects infrastructure, the changes are typically reversible through reconfiguration.

From the tool's definition Tool name 'configure_application_load_balancer' and description 'Configure application load balancer' indicate modification of load balancer configuration settings.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

configure_application_load_balancer Rate-limited

configure_application_load_balancer 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": {
    "configure_application_load_balancer": {
      "limits": [
        {
          "counter": "configure_application_load_balancer_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches CloudStack MCP Server, so you can run agents against it safely.

FAQ

Questions about configure_application_load_balancer

What does the configure_application_load_balancer tool do? +

Configure application load balancer. 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 configure_application_load_balancer? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for configure_application_load_balancer: 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 configure_application_load_balancer? +

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

Can I rate-limit configure_application_load_balancer? +

Yes. Add a rate_limit block to the configure_application_load_balancer 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 configure_application_load_balancer completely? +

Set action: deny in the PolicyLayer policy for configure_application_load_balancer. 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 configure_application_load_balancer? +

configure_application_load_balancer 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.