AI agents use create_employee to create or update resources in Eyeot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eyeot environment.
Creating an employee records is a Write operation: it creates new data in the HR module without irreversible destruction. However, it carries high severity because unauthorized employee creation could corrupt HR records, create fraudulent payroll entries, or introduce unauthorized access to company systems.
From the tool's definition Tool name 'create_employee' and description 'Créer un employé' (Create an employee) directly indicate creation of a new employee record in the eyeot ERP system.
Attacks that exploit this kind of access
Créer un employé. It is categorised as a Write tool in the Eyeot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Eyeot MCP server in PolicyLayer and add a rule for create_employee: 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 Eyeot. Nothing to install.
create_employee 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_employee 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_employee. 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_employee is provided by the Eyeot MCP server (https://erp.eyeot.fr/api/v1/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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