update_question · Xiaoya Teacher MCP: Risk & Policy

WHAT IT DOES

What update_question does on Xiaoya Teacher

AI agents use update_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 update_question needs a policy

The tool modifies question data (likely test/quiz questions based on server description mentioning '题目创建' and sibling tools like 'batch_create_questions'). This is a reversible change with no permanent deletion or financial impact. While the description is empty (lowering confidence slightly), the name and server context clearly indicate data modification.

From the tool's definition Tool name is 'update_question' which indicates modification of existing data. Server context shows this is an educational management platform with question/test management capabilities. The 'update_' prefix indicates a Write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_question Rate-limited

update_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": {
    "update_question": {
      "limits": [
        {
          "counter": "update_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 update_question

What does the update_question tool do? +

update_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 update_question? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for update_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 update_question? +

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

Can I rate-limit update_question? +

Yes. Add a rate_limit block to the update_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 update_question completely? +

Set action: deny in the PolicyLayer policy for update_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 update_question? +

update_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.