maker_export_learner

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

SERVERCrow SOURCEkh0pper/crow

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kh0pper-crow/maker-export-learner.md

WHAT IT DOES

What maker_export_learner does on Crow

AI agents call maker_export_learner to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why maker_export_learner is rated Low

This tool reads and exports data (a JSON bundle of all learner data), making it a Read operation. However, the severity is high because it aggregates and exports all personal data for a learner — a bulk data exfiltration risk if misused. The 'Admin-only' designation confirms the 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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs maker_export_learner safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For maker_export_learner, this is the rule to start with:

maker_export_learner Allowed

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

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every maker_export_learner call is checked against it from then on.

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.

KEEP EXPLORING

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