从给定的选项列表中随机抽取一个或多个结果
AI agents call draw_lottery to retrieve information from MCP Lottery Demo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a random selection utility that reads from an input list and returns a selection. It does not modify, delete, execute code, or commit any actions. The 'lottery drawing' function is purely computational—selecting items from a list without persistent effects.
From the tool's definition Tool performs random selection from a given list of options ('从给定的选项列表中随机抽取'), which is a query/retrieval operation with no side effects on data or system state.
Attacks that exploit this kind of access
从给定的选项列表中随机抽取一个或多个结果. It is categorised as a Read tool in the MCP Lottery Demo MCP Server, which means it retrieves data without modifying state.
Register the MCP Lottery Demo MCP server in PolicyLayer and add a rule for draw_lottery: 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 Lottery Demo. Nothing to install.
draw_lottery 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 draw_lottery 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 draw_lottery. 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.
draw_lottery is provided by the MCP Lottery Demo MCP server (pmhw/mcpdemo). 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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