Remove a value from the Konduto allowlist. Future orders matching the value will once again undergo full ML scoring.
AI agents call remove_from_allowlist to permanently remove resources in Mcp Afip — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing an entry from an allowlist is an irreversible deletion of a security/fraud configuration record. Once removed, previously trusted orders will be re-evaluated by ML scoring, which could have downstream operational impact. The action cannot be undone without re-adding the entry, making it destructive in nature.
From the tool's definition 'Remove a value from the Konduto allowlist' — permanently removes an entry, causing future orders to undergo full ML scoring again; this deletion is not easily reversible
Documented attack patterns abuse exactly the kind of access remove_from_allowlist 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 remove_from_allowlist:
{
"version": "1",
"default": "deny",
"hide": [
"remove_from_allowlist"
]
} remove_from_allowlist disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Remove a value from the Konduto allowlist. Future orders matching the value will once again undergo full ML scoring. It is categorised as a Destructive tool in the Mcp Afip MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Mcp Afip MCP server in PolicyLayer and add a rule for remove_from_allowlist: 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.
remove_from_allowlist is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_from_allowlist 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 remove_from_allowlist. 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.
remove_from_allowlist 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.
Free to start. No card required.
1300 Mcp Afip tools catalogued and risk-classified — across an index of 43,000+ MCP servers.