get_preference

THE RISK

Low Risk

Why get_preference needs a policy

This tool retrieves a checkout preference record by its identifier. There are no side effects, data modification, code execution, deletion, or financial transaction involved. It is a straightforward read operation on stored preference data, consistent with tools that fetch or get information. Severity is low because reading checkout preferences poses minimal risk even if invoked inappropriately by an agent.

From the tool's definition Tool name is 'get_preference' and description states 'Get checkout preference by ID' — this is a retrieval operation that queries data without modification.

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

POLICY

How to control get_preference

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 get_preference:

policy.json

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

get_preference 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

Related tools and policies

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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 get_preference

What does the get_preference tool do? +

Get checkout preference by ID. 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 get_preference? +

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

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

Can I rate-limit get_preference? +

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

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

get_preference 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 →