獲取訂單信息
AI agents call get_orders to retrieve information from MCP E-commerce Demo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries order data without side effects. It follows the Read category pattern of fetching/getting existing data. The severity is low because querying e-commerce orders poses minimal risk—it may expose business data but does not alter systems, execute code, delete data, or commit financial transactions.
From the tool's definition Tool name 'get_orders' and description '獲取訂單信息' (retrieve order information) indicate a data retrieval operation with no modification or deletion capability.
Attacks that exploit this kind of access
獲取訂單信息. It is categorised as a Read tool in the MCP E-commerce Demo MCP Server, which means it retrieves data without modifying state.
Register the MCP E-commerce Demo MCP server in PolicyLayer and add a rule for get_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 MCP E-commerce Demo. Nothing to install.
get_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_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_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_orders is provided by the MCP E-commerce Demo MCP server (uberr2000/mcp_demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get_orders is one line of MCP E-commerce Demo's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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