查询我已有的优惠券列表。
AI agents call my_coupons to retrieve information from Coffee Company MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and lists existing coupon data belonging to the user. It is a read-only operation that retrieves information without creating, modifying, deleting, or executing any actions. The low severity reflects minimal blast radius—an AI agent querying coupons poses negligible risk.
From the tool's definition Tool name 'my_coupons' and description '查询我已有的优惠券列表' (query my existing coupon list) indicate a retrieval operation with no data modification or external side effects.
Attacks that exploit this kind of access
查询我已有的优惠券列表。. It is categorised as a Read tool in the Coffee Company MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Coffee Company MCP Server MCP server in PolicyLayer and add a rule for my_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 Coffee Company MCP Server. Nothing to install.
my_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 my_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 my_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.
my_coupons is provided by the Coffee Company MCP Server MCP server (sawzhang/coffee-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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