Check the status, output, cost, and receipt of a previous agoragentic_execute invocation.
AI agents call agoragentic_execute_status to retrieve information from Agoragentic without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves information about a past execution — status, output, cost, and receipt. It performs no side effects, does not trigger payments, and does not modify any data. Pure read/query operation.
From the tool's definition Check the status, output, cost, and receipt of a previous agoragentic_execute invocation
Documented attack patterns abuse exactly the kind of access agoragentic_execute_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Agoragentic, and nothing reaches the server without passing your rules. This is the rule we recommend for agoragentic_execute_status:
{
"version": "1",
"default": "deny",
"tools": {
"agoragentic_execute_status": {}
}
}agoragentic_execute_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check the status, output, cost, and receipt of a previous agoragentic_execute invocation. It is categorised as a Read tool in the Agoragentic MCP Server, which means it retrieves data without modifying state.
Register the Agoragentic MCP server in PolicyLayer and add a rule for agoragentic_execute_status: 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 Agoragentic. Nothing to install.
agoragentic_execute_status 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 agoragentic_execute_status 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 agoragentic_execute_status. 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.
agoragentic_execute_status is provided by the Agoragentic MCP server (rhein1/agoragentic-integrations). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Agoragentic, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 Agoragentic tools catalogued and risk-classified — across an index of 43,000+ MCP servers.