update_resource_limit · CloudStack MCP Server MCP

WHAT IT DOES

What update_resource_limit does on CloudStack MCP Server

AI agents use update_resource_limit 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_resource_limit needs a policy

This tool modifies resource limit configurations for accounts or domains in a CloudStack environment. While the change is reversible (categorizing it as Write rather than Destructive), it has high severity because incorrect resource limit modifications could severely impact infrastructure capacity, user access, or cause denial of service by restricting resources below operational thresholds.

From the tool's definition Tool name is 'update_resource_limit' and description states 'Update resource limits for accounts or domains'. The verb 'update' indicates modification of existing configuration data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_resource_limit Rate-limited

update_resource_limit 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_resource_limit": {
      "limits": [
        {
          "counter": "update_resource_limit_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_resource_limit

What does the update_resource_limit tool do? +

Update resource limits for accounts or domains. 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_resource_limit? +

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

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

Can I rate-limit update_resource_limit? +

Yes. Add a rate_limit block to the update_resource_limit 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_resource_limit completely? +

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

update_resource_limit 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.