update_teacher_enrollment · Eduframe MCP: Risk & Policy

WHAT IT DOES

What update_teacher_enrollment does on Eduframe

AI agents use update_teacher_enrollment to create or update resources in Eduframe — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eduframe environment.

WHY IT NEEDS A POLICY

Why update_teacher_enrollment needs a policy

This tool creates or modifies data in a reversible manner (Write category). The severity is medium because misuse could corrupt teacher enrollment records affecting educational operations, but the change is not irreversible (Destructive) nor does it involve financial transactions or code execution. Given the clear 'update' semantics and context of managing educational records, confidence is high.

From the tool's definition Tool name 'update_teacher_enrollment' indicates modification of existing records. Server description states it enables 'updating' records through the Eduframe API. The 'update' operation modifies data reversibly without deletion or financial transactions.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_teacher_enrollment Rate-limited

update_teacher_enrollment 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": {
    "update_teacher_enrollment": {
      "limits": [
        {
          "counter": "update_teacher_enrollment_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 Eduframe, so you can run agents against it safely.

FAQ

Questions about update_teacher_enrollment

What does the update_teacher_enrollment tool do? +

Update a teacher enrollment. It is categorised as a Write tool in the Eduframe MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_teacher_enrollment? +

Register the Eduframe MCP server in PolicyLayer and add a rule for update_teacher_enrollment: 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 Eduframe. Nothing to install.

What risk level is update_teacher_enrollment? +

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

Can I rate-limit update_teacher_enrollment? +

Yes. Add a rate_limit block to the update_teacher_enrollment 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 update_teacher_enrollment completely? +

Set action: deny in the PolicyLayer policy for update_teacher_enrollment. 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 update_teacher_enrollment? +

update_teacher_enrollment is provided by the Eduframe MCP server (martijnpieters/eduframe-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.