AI agents use create_enrollment_code to create or update resources in Defined — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Defined environment.
This tool creates a new enrollment code, which is a reversible write operation. While it does not delete or destroy data (Destructive), execute arbitrary code (Execute), or move money (Financial), it does create new security credentials or tokens for host enrollment.
From the tool's definition Tool name is 'create_enrollment_code' and description states 'Create an enrollment code for a host.' The verb 'Create' indicates data generation.
Attacks that exploit this kind of access
Create an enrollment code for a host. It is categorised as a Write tool in the Defined MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Defined MCP server in PolicyLayer and add a rule for create_enrollment_code: 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 Defined. Nothing to install.
create_enrollment_code 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 create_enrollment_code 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 create_enrollment_code. 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.
create_enrollment_code is provided by the Defined MCP server (quickvm/defined-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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