AI agents invoke send_order_to_goship to trigger actions in Gobox. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external operation by dispatching an order to a carrier/delivery service. It initiates a real-world logistics process that is difficult or impossible to reverse once the carrier accepts the shipment.
From the tool's definition Send order to carrier (Goship) for delivery
Attacks that exploit this kind of access
Send order to carrier (Goship) for delivery. It is categorised as a Execute tool in the Gobox MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gobox MCP server in PolicyLayer and add a rule for send_order_to_goship: 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 Gobox. Nothing to install.
send_order_to_goship is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the send_order_to_goship 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 send_order_to_goship. 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.
send_order_to_goship is provided by the Gobox MCP server (winter279/gobox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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