answer_question

THE RISK

Low Risk

Why answer_question needs a policy

This is a retrieval/query operation that reads information from a product listing context and responds to a user question. There are no side effects mentioned, no data creation, deletion, or financial implications. The most severe risk is that an agent could ask misleading questions to gather information, but the action itself is fundamentally read-only.

From the tool's definition The tool 'answer_question' is described as 'Answer a question on a product listing' — it retrieves or provides information in response to a query about a product, with no indication of modifying, deleting, or executing code.

Documented attack patterns abuse exactly the kind of access answer_question gives an agent:

POLICY

How to control answer_question

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Afip, and nothing reaches the server without passing your rules. This is the rule we recommend for answer_question:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "answer_question": {}
  }
}

answer_question is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Mcp Afip — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about answer_question

What does the answer_question tool do? +

Answer a question on a product listing. It is categorised as a Read tool in the Mcp Afip MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on answer_question? +

Register the Mcp Afip 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 Mcp Afip. Nothing to install.

What risk level is answer_question? +

answer_question is a Read tool with low risk. Read-only tools are generally safe to allow by default.

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 Mcp Afip MCP server (codespar/mcp-dev-latam). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Afip tool call.

Start from Mcp Afip, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →