maker_export_learner

THE RISK

Low Risk

Why maker_export_learner needs a policy

The tool exports/reads data into a JSON bundle — no data is modified or deleted. However, it aggregates ALL data for a learner (PII-sensitive), making it high severity due to the privacy blast radius if misused. 'Right-to-be-forgotten preparation' implies it is a precursor to deletion but does not itself delete. Admin-only restriction further confirms sensitivity.

From the tool's definition Export all data for a learner as a JSON bundle (for parental-request responses and right-to-be-forgotten preparation). Admin-only.

Risk signalsBulk/mass operation — affects multiple targets · Admin/system-level operation

Documented attack patterns abuse exactly the kind of access maker_export_learner gives an agent:

POLICY

How to control maker_export_learner

PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for maker_export_learner:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "maker_export_learner": {}
  }
}

maker_export_learner is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Crow — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about maker_export_learner

What does the maker_export_learner tool do? +

Export all data for a learner as a JSON bundle (for parental-request responses and right-to-be-forgotten preparation). Admin-only. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on maker_export_learner? +

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

What risk level is maker_export_learner? +

maker_export_learner is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit maker_export_learner? +

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

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

maker_export_learner is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Crow tool call.

Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →