AI agents call get_upcoming_orders to retrieve information from Rohlik 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 existing orders without creating, modifying, or deleting any data. It is a simple query operation that reads account information. The low severity reflects that unauthorized access to order history presents privacy/information disclosure risk but no financial or destructive impact on its own.
From the tool's definition Tool name 'get_upcoming_orders' and description 'Get your scheduled upcoming orders' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get your scheduled upcoming orders. It is categorised as a Read tool in the Rohlik MCP Server, which means it retrieves data without modifying state.
Register the Rohlik MCP server in PolicyLayer and add a rule for get_upcoming_orders: 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 Rohlik. Nothing to install.
get_upcoming_orders 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_upcoming_orders 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_upcoming_orders. 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_upcoming_orders is provided by the Rohlik MCP server (@tomaspavlin/rohlik-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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