update_application_load_balancer
A write tool on the CloudStack MCP server.
This record as markdown: /tools/mozg31337-cloudstack-mcp-server/update-application-load-balancer.md
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 update_application_load_balancer is rated Medium
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
The rule that runs update_application_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_application_load_balancer, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect CloudStack MCP Server, apply this rule, and every update_application_load_balancer call is checked against it from then on.
Questions about update_application_load_balancer
update_application_load_balancer is a write tool on the CloudStack MCP Server MCP server. 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.
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.
update_application_load_balancer is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
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.
More on CloudStack MCP Server, and thousands of servers like it.
This server
Across the catalogue