优惠券列表 — 获取抖店优惠券列表。
AI agents call list_coupons to retrieve information from Pypi:mcp Cn Commerce without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists coupon data from a Douyin e-commerce platform without modifying, deleting, or executing operations. It is a straightforward read/query operation with no side effects or ability to alter system state.
From the tool's definition Tool name 'list_coupons' and description '获取抖店优惠券列表' (get Douyin shop coupon list) indicate a data retrieval operation. The server description explicitly states 'read-only access' to business data.
Attacks that exploit this kind of access
优惠券列表 — 获取抖店优惠券列表。. It is categorised as a Read tool in the Pypi:mcp Cn Commerce MCP Server, which means it retrieves data without modifying state.
Register the Pypi:mcp Cn Commerce MCP server in PolicyLayer and add a rule for list_coupons: 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 Pypi:mcp Cn Commerce. Nothing to install.
list_coupons 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 list_coupons 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 list_coupons. 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.
list_coupons is provided by the Pypi:mcp Cn Commerce MCP server (tonywang-hub/mcp-cn-commerce). 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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