create_fill_blank_question · Xiaoya Teacher MCP

WHAT IT DOES

What create_fill_blank_question does on Xiaoya Teacher

AI agents use create_fill_blank_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_fill_blank_question needs a policy

This tool creates or adds a new question resource to the educational platform. Writing educational content is reversible (questions can be edited or deleted later) and has limited blast radius—the worst case is malicious or low-quality questions being created, which an instructor could review and remove. It does not execute arbitrary code, delete data irreversibly, or move money.

From the tool's definition Tool name 'create_fill_blank_question' indicates creation of a fill-in-the-blank question. Sibling tools like 'batch_create_questions', 'create_answer_item', 'create_code_question', and 'create_attachment_question' confirm this server's pattern of…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_fill_blank_question Rate-limited

create_fill_blank_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_fill_blank_question": {
      "limits": [
        {
          "counter": "create_fill_blank_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_fill_blank_question

What does the create_fill_blank_question tool do? +

create_fill_blank_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_fill_blank_question? +

Register the Xiaoya Teacher MCP server in PolicyLayer and add a rule for create_fill_blank_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_fill_blank_question? +

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

Can I rate-limit create_fill_blank_question? +

Yes. Add a rate_limit block to the create_fill_blank_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_fill_blank_question completely? +

Set action: deny in the PolicyLayer policy for create_fill_blank_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_fill_blank_question? +

create_fill_blank_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.