update_load_balancer_rule · CloudStack MCP Server MCP

WHAT IT DOES

What update_load_balancer_rule does on CloudStack MCP Server

AI agents use update_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.

WHY IT NEEDS A POLICY

Why update_load_balancer_rule needs a policy

This tool modifies load balancer rules, which are critical network infrastructure components. Misconfigured load balancer rules could redirect traffic to unintended destinations, disrupt service availability, or redirect traffic for malicious purposes. However, updates are reversible (unlike destructive operations) and do not execute arbitrary code or move funds.

From the tool's definition Tool name 'update_load_balancer_rule' and description 'Update a load balancer rule' indicate modification of existing network infrastructure configuration. The 'update' verb confirms data modification rather than deletion or code execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_load_balancer_rule Rate-limited

update_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": {
    "update_load_balancer_rule": {
      "limits": [
        {
          "counter": "update_load_balancer_rule_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 update_load_balancer_rule

What does the update_load_balancer_rule tool do? +

Update a 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 update_load_balancer_rule? +

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

update_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 update_load_balancer_rule? +

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

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

update_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.