create_question · Xiaoya Teacher MCP: Risk & Policy

WHAT IT DOES

What create_question does on Xiaoya Teacher

AI agents use create_question 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 create_question needs a policy

The tool creates question records in an educational management system, which is a reversible write operation. While the description is empty (lowering confidence slightly), the name and context from sibling tools and server purpose clearly indicate data creation rather than retrieval (Read), code execution (Execute), deletion (Destructive), or financial transactions (Financial).

From the tool's definition Tool name 'create_question' combined with sibling tools 'batch_create_questions', 'configure_paper_basics', 'create_answer_item', 'create_attachment_question', 'create_code_question' indicate data creation capabilities.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_question Rate-limited

create_question 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": {
    "create_question": {
      "limits": [
        {
          "counter": "create_question_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 create_question

What does the create_question tool do? +

create_question. 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 create_question? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for create_question: 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 create_question? +

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

Can I rate-limit create_question? +

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

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

create_question 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.