获取菜品的菜谱(制作方法)
AI agents call getFoodMenu to retrieve information from LuckyCola 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 recipe information for food items. It performs a lookup or query operation that reads data from the LuckyCola platform without modifying, executing external operations, or deleting anything. No destructive, financial, or code execution capabilities are involved. This is a straightforward Read operation with minimal risk.
From the tool's definition Tool name 'getFoodMenu' and description '获取菜品的菜谱(制作方法)' (get food recipe/preparation method) indicates data retrieval with no side effects.
Attacks that exploit this kind of access
获取菜品的菜谱(制作方法). It is categorised as a Read tool in the LuckyCola MCP Server MCP Server, which means it retrieves data without modifying state.
Register the LuckyCola MCP Server MCP server in PolicyLayer and add a rule for getFoodMenu: 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 LuckyCola MCP Server. Nothing to install.
getFoodMenu 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 getFoodMenu 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 getFoodMenu. 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.
getFoodMenu is provided by the LuckyCola MCP Server MCP server (mingle98/luckycola-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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