AI agents use update_order to create or update resources in Gobox — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gobox environment.
This tool creates or modifies order data reversibly, fitting the Write category. Severity is high because unauthorized order modifications in an e-commerce system could cause business disruption, incorrect order fulfillment, or financial discrepancies affecting customers and the business. The confidence is high because the description explicitly states the update operation.
From the tool's definition The tool is described as 'Update order fields by transactionNo' which modifies existing order data in an e-commerce system.
Attacks that exploit this kind of access
Update order fields by transactionNo. It is categorised as a Write tool in the Gobox MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gobox MCP server in PolicyLayer and add a rule for update_order: 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.
update_order is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_order 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 update_order. 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.
update_order 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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