Get agent registration details, trust status, and current spend usage
AI agents call get_agent 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 retrieves information about an agent's registration, trust status, and spending metrics. It performs a query operation with no capacity to modify, delete, or execute actions. The data returned is read-only and informational in nature, consistent with the 'Read' category.
From the tool's definition Tool description states 'Get agent registration details, trust status, and current spend usage' — uses verb 'Get' indicating data retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_agent 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 get_agent:
{
"version": "1",
"default": "deny",
"tools": {
"get_agent": {}
}
} get_agent is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get agent registration details, trust status, and current spend usage. 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 get_agent: 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.
get_agent 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 get_agent 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 get_agent. 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.
get_agent 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.