查询我的账户信息：等级、星星余额、可用权益、优惠券数量。
AI agents call my_account 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 retrieves account-level metadata (tier status, loyalty points, benefits, coupon inventory) without any side effects. It is a straightforward read operation that returns user data. No financial transactions, data modifications, or destructive actions are performed.
From the tool's definition Tool name 'my_account' and description indicate querying account information: '查询我的账户信息：等级、星星余额、可用权益、优惠券数量' (Query my account information: level, star balance, available benefits, coupon count).
Attacks that exploit this kind of access
查询我的账户信息：等级、星星余额、可用权益、优惠券数量。. 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_account: 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_account 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_account 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_account. 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_account 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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