update_global_load_balancer

Update global 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/update-global-load-balancer.md

WHAT IT DOES

What update_global_load_balancer does on CloudStack MCP Server

AI agents use update_global_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.

RISK

Why update_global_load_balancer is rated Medium

This tool modifies network load balancer rules in a CloudStack infrastructure, which affects traffic routing and service availability across the cloud environment. While reversible (characteristic of Write category), it impacts critical infrastructure and could disrupt services if misconfigured by an AI agent.

From the tool's definition Tool name is 'update_global_load_balancer' and description states 'Update global load balancer rule' — the 'update' verb indicates modification of existing infrastructure configuration.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_global_load_balancer 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 update_global_load_balancer, this is the rule to start with:

update_global_load_balancer Rate-limited

update_global_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_global_load_balancer": {
      "limits": [
        {
          "counter": "update_global_load_balancer_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 update_global_load_balancer call is checked against it from then on.

FAQ

Questions about update_global_load_balancer

What does the update_global_load_balancer tool do? +

Update global 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_global_load_balancer? +

Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for update_global_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_global_load_balancer? +

update_global_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_global_load_balancer? +

Yes. Add a rate_limit block to the update_global_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_global_load_balancer completely? +

Set action: deny in the PolicyLayer policy for update_global_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_global_load_balancer? +

update_global_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.

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