update_lb_stickiness_policy · CloudStack MCP Server MCP

WHAT IT DOES

What update_lb_stickiness_policy does on CloudStack MCP Server

AI agents use update_lb_stickiness_policy 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_lb_stickiness_policy needs a policy

This tool creates or modifies load balancer stickiness policy settings, which is a reversible configuration change. It does not delete, execute arbitrary code, move money, or trigger destructive operations. The blast radius is medium because misconfiguration of load balancer stickiness policies could affect traffic distribution and service availability, but the change is reversible through another update operation.

From the tool's definition Tool name 'update_lb_stickiness_policy' and description 'Update load balancer stickiness policy' indicate modification of existing load balancer configuration settings.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_lb_stickiness_policy Rate-limited

update_lb_stickiness_policy 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_lb_stickiness_policy": {
      "limits": [
        {
          "counter": "update_lb_stickiness_policy_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_lb_stickiness_policy

What does the update_lb_stickiness_policy tool do? +

Update load balancer stickiness policy. 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_lb_stickiness_policy? +

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

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

Can I rate-limit update_lb_stickiness_policy? +

Yes. Add a rate_limit block to the update_lb_stickiness_policy 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_lb_stickiness_policy completely? +

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

update_lb_stickiness_policy 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.