update_application_load_balancer · CloudStack MCP Server MCP

WHAT IT DOES

What update_application_load_balancer does on CloudStack MCP Server

AI agents use update_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 update_application_load_balancer needs a policy

Updating a load balancer modifies its configuration (routing rules, health checks, target pools, etc.) but does not irreversibly delete data or resources. While the blast radius is significant in a production environment (could impact traffic routing and service availability), this is a Write operation rather than Destructive.

From the tool's definition Tool name 'update_application_load_balancer' and description 'Update application load balancer' indicate modification of load balancer configuration, which is a reversible write operation on cloud infrastructure.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_application_load_balancer Rate-limited

update_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": {
    "update_application_load_balancer": {
      "limits": [
        {
          "counter": "update_application_load_balancer_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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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 update_application_load_balancer

What does the update_application_load_balancer tool do? +

Update 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 update_application_load_balancer? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for update_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 update_application_load_balancer? +

update_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 update_application_load_balancer? +

Yes. Add a rate_limit block to the update_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 update_application_load_balancer completely? +

Set action: deny in the PolicyLayer policy for update_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 update_application_load_balancer? +

update_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.