Low Risk

get_personal_qualifications

Get personal customer qualifications (income, occupation) via Open Finance

How to control get_personal_qualifications ↓

What get_personal_qualifications does on Mcp Afip

AI agents call get_personal_qualifications to retrieve information from Mcp Afip without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_personal_qualifications needs a policy

This is a Read operation as it retrieves financial and personal data without side effects. However, severity is elevated from 'low' to 'medium' because the data retrieved includes sensitive personal financial information (income, occupation) that could be misused if an AI agent over-queries or shares this data inappropriately, or if access controls are bypassed.

From the tool's definition Tool performs a 'Get' operation to retrieve 'personal customer qualifications (income, occupation)' without modifying data. The description explicitly indicates data retrieval via 'Open Finance' API.

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

How to control get_personal_qualifications

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_personal_qualifications:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_personal_qualifications": {}
  }
}

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

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

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Questions about get_personal_qualifications

What does the get_personal_qualifications tool do? +

Get personal customer qualifications (income, occupation) via Open Finance. 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_personal_qualifications? +

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

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

Can I rate-limit get_personal_qualifications? +

Yes. Add a rate_limit block to the get_personal_qualifications 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_personal_qualifications completely? +

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

get_personal_qualifications 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.

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