update_lb_stickiness_policy
Update load balancer stickiness policy
This record as markdown: /tools/mozg31337-cloudstack-mcp-server/update-lb-stickiness-policy.md
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 update_lb_stickiness_policy is rated Medium
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
The rule that runs update_lb_stickiness_policy 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_lb_stickiness_policy, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect CloudStack MCP Server, apply this rule, and every update_lb_stickiness_policy call is checked against it from then on.
Questions about update_lb_stickiness_policy
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.
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.
update_lb_stickiness_policy 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_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.
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.
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.
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