answer_question · AI Collaboration MCP Server MCP

WHAT IT DOES

What answer_question does on AI Collaboration MCP Server

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

WHY IT NEEDS A POLICY

Why answer_question needs a policy

An AI agent can call answer_question faster than any human can review — one bad instruction and it creates or modifies resources in AI Collaboration MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

answer_question Rate-limited

answer_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": {
    "answer_question": {
      "limits": [
        {
          "counter": "answer_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 AI Collaboration MCP Server, so you can run agents against it safely.

FAQ

Questions about answer_question

What does the answer_question tool do? +

Answer a previously asked question. It is categorised as a Write tool in the AI Collaboration MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on answer_question? +

Register the AI Collaboration MCP Server MCP server in PolicyLayer and add a rule for answer_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 AI Collaboration MCP Server. Nothing to install.

What risk level is answer_question? +

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

Can I rate-limit answer_question? +

Yes. Add a rate_limit block to the answer_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 answer_question completely? +

Set action: deny in the PolicyLayer policy for answer_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 answer_question? +

answer_question is provided by the AI Collaboration MCP Server MCP server (wyn0001/ai-collab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.