List executed trades for an order book
AI agents call list_trades 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.
This tool queries and retrieves historical trade execution data without modifying, deleting, or executing any side effects. It is a straightforward read operation with minimal risk if misused by an AI agent—the worst outcome would be unauthorized information access rather than data loss, financial transactions, or system state changes.
From the tool's definition Tool name 'list_trades' and description 'List executed trades for an order book' indicate data retrieval with no modification. The verb 'list' is a classic read operation.
Documented attack patterns abuse exactly the kind of access list_trades 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 list_trades:
{
"version": "1",
"default": "deny",
"tools": {
"list_trades": {}
}
} list_trades is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List executed trades for an order book. 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 list_trades: 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.
list_trades 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 list_trades 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 list_trades. 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.
list_trades 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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