predict_category

THE RISK

Low Risk

Why predict_category needs a policy

This tool performs inference on a product title to predict its category. It retrieves or computes a classification result with no side effects, no data modification, and no irreversible actions. The 'domain_discovery' context suggests exploratory analysis.

From the tool's definition Tool name 'predict_category' with description 'Predict the best category for a product title (domain_discovery)' indicates a prediction/classification operation that reads input and returns a categorization without modifying data.

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

POLICY

How to control predict_category

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 predict_category:

policy.json

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

predict_category 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 →

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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 predict_category

What does the predict_category tool do? +

Predict the best category for a product title (domain_discovery). 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 predict_category? +

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

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

Can I rate-limit predict_category? +

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

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

predict_category 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 →