List the credentials (captured artefacts: ID front/back, selfie, proof-of-address, etc) for a workflow execution. Each credential carries a parts[] array with URLs to download the stored images / PDFs.
AI agents call retrieve_credentials 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.
The tool retrieves personally identifiable information (ID documents, selfies, proof-of-address) that have been captured during a workflow. While this is purely a read operation with no side effects, the severity is high because the data accessed contains sensitive identity verification artifacts.
From the tool's definition Tool description states 'List the credentials' and 'URLs to download the stored images / PDFs' — explicit retrieval of data with no modification or deletion.
Documented attack patterns abuse exactly the kind of access retrieve_credentials gives an agent:
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 retrieve_credentials:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_credentials": {}
}
} retrieve_credentials is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List the credentials (captured artefacts: ID front/back, selfie, proof-of-address, etc) for a workflow execution. Each credential carries a parts[] array with URLs to download the stored images / PDFs. It is categorised as a Read tool in the Mcp Afip MCP Server, which means it retrieves data without modifying state.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for retrieve_credentials: 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.
retrieve_credentials is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the retrieve_credentials 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.
Set action: deny in the PolicyLayer policy for retrieve_credentials. 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.
retrieve_credentials 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.
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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1300 Mcp Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.