update_short_answer_answer · Xiaoya Teacher MCP

WHAT IT DOES

What update_short_answer_answer does on Xiaoya Teacher

AI agents use update_short_answer_answer 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_short_answer_answer needs a policy

The tool modifies existing answer data (Write category) rather than destroying it (Destructive) or executing arbitrary operations (Execute). In an educational context, updating answers could affect student records and grading, warranting medium severity. Confidence is moderate (0.75) because the description is empty; the classification relies on name pattern inference and server context.

From the tool's definition Tool name 'update_short_answer_answer' indicates modifying answer data. The server context shows this is an educational platform with answer/grading features ('create_answer_item', 'batch_create_questions').

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_short_answer_answer Rate-limited

update_short_answer_answer 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_short_answer_answer": {
      "limits": [
        {
          "counter": "update_short_answer_answer_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_short_answer_answer

What does the update_short_answer_answer tool do? +

update_short_answer_answer. 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_short_answer_answer? +

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

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

Can I rate-limit update_short_answer_answer? +

Yes. Add a rate_limit block to the update_short_answer_answer 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_short_answer_answer completely? +

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

update_short_answer_answer 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.