list_reviews

THE RISK

Low Risk

Why list_reviews needs a policy

This tool retrieves and queries existing review data without modifying, deleting, or executing external operations. It fits the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch)'. The severity is low because reading reviews poses minimal risk—the data is historical and the operation is passive. Confidence is high given the clear 'list' action and read-only purpose.

From the tool's definition Tool name is 'list_reviews' and description states it 'List payer reviews / opinions' — a retrieval operation with no side effects. The purpose is explicitly informational: 'Useful for NPS dashboards and detecting UX problems' (analytics/monitoring use case).

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

POLICY

How to control list_reviews

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 list_reviews:

policy.json

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

list_reviews 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.

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EXPLORE

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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 list_reviews

What does the list_reviews tool do? +

List payer reviews / opinions left after a Khipu payment. Useful for NPS dashboards and detecting UX problems in the payment flow. 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 list_reviews? +

Register the Mcp Afip MCP server in PolicyLayer and add a rule for list_reviews: 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 list_reviews? +

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

Can I rate-limit list_reviews? +

Yes. Add a rate_limit block to the list_reviews 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 list_reviews completely? +

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

list_reviews 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 →