close_exam · Leafeep MCP: Risk & Policy

WHAT IT DOES

What close_exam does on Leafeep

AI agents use close_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.

WHY IT NEEDS A POLICY

Why close_exam needs a policy

Closing an exam locks further submissions, which is a reversible state change (the exam could presumably be reopened). It modifies the exam's status rather than deleting data, so Write is appropriate. Misuse could prevent students from submitting answers, giving it medium severity.

From the tool's definition Close an exam (lock submissions)

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

close_exam Rate-limited

close_exam 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "close_exam": {
      "limits": [
        {
          "counter": "close_exam_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Leafeep, so you can run agents against it safely.

FAQ

Questions about close_exam

What does the close_exam tool do? +

Close an exam (lock submissions). 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.

How do I enforce a policy on close_exam? +

Register the Leafeep MCP server in PolicyLayer and add a rule for close_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.

What risk level is close_exam? +

close_exam is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit close_exam? +

Yes. Add a rate_limit block to the close_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.

How do I block close_exam completely? +

Set action: deny in the PolicyLayer policy for close_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.

What MCP server provides close_exam? +

close_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.