AI agents use create_exam to create or update resources in Leafeep — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Leafeep environment.
This tool creates new exam data and associated artifacts (student links, QR codes) but does not execute code, run queries, delete data, or move money. It is a reversible write operation — exams can be modified or closed without permanent consequence.
From the tool's definition Tool description explicitly states 'Create a question set and generate a student link + QR code.' The verb 'Create' indicates data creation. The tool generates new resources (exams, links, QR codes) that persist in the system.
Attacks that exploit this kind of access
Create a question set and generate a student link + QR code. It is categorised as a Write tool in the Leafeep MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Leafeep MCP server in PolicyLayer and add a rule for create_exam: 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 Leafeep. Nothing to install.
create_exam 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_exam 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_exam. 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_exam is provided by the Leafeep MCP server (xhae123/leafeep-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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