update_paper_randomization · Xiaoya Teacher MCP

WHAT IT DOES

What update_paper_randomization does on Xiaoya Teacher

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

WHY IT NEEDS A POLICY

Why update_paper_randomization needs a policy

The tool performs a reversible modification of paper randomization settings rather than deletion or code execution. While the description is empty, the name structure combined with sibling tools like 'configure_paper_basics' and 'batch_update_resource_*' strongly suggests this updates exam configuration.

From the tool's definition Tool name 'update_paper_randomization' indicates modification of exam paper settings. The 'update_' prefix signifies a write operation that modifies existing data (paper randomization configuration).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_paper_randomization Rate-limited

update_paper_randomization 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_paper_randomization": {
      "limits": [
        {
          "counter": "update_paper_randomization_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 Xiaoya Teacher, so you can run agents against it safely.

FAQ

Questions about update_paper_randomization

What does the update_paper_randomization tool do? +

update_paper_randomization. It is categorised as a Write tool in the Xiaoya Teacher 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_paper_randomization? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for update_paper_randomization: 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 Xiaoya Teacher. Nothing to install.

What risk level is update_paper_randomization? +

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

Can I rate-limit update_paper_randomization? +

Yes. Add a rate_limit block to the update_paper_randomization 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_paper_randomization completely? +

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

update_paper_randomization is provided by the Xiaoya Teacher MCP server (sav1our520/xiaoya-teacher-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.