Get personalized product recommendations based on preferences and order history
AI agents call get_recommendations to retrieve information from Mcp Drizly without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves recommendation data derived from user preferences and order history. It has no side effects—it does not create, modify, delete, or execute anything. It does not process payments or commit financial obligations. The operation is purely informational and read-only. The low severity reflects minimal risk even if misused by an AI agent, as recommendations are non-binding suggestions.
From the tool's definition Tool name 'get_recommendations' and description indicate retrieval of personalized suggestions based on existing user data (preferences and order history). No modification, deletion, execution, or financial transaction occurs.
Attacks that exploit this kind of access
Get personalized product recommendations based on preferences and order history. It is categorised as a Read tool in the Mcp Drizly MCP Server, which means it retrieves data without modifying state.
Register the Mcp Drizly MCP server in PolicyLayer and add a rule for get_recommendations: 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 Drizly. Nothing to install.
get_recommendations 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 get_recommendations 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 get_recommendations. 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.
get_recommendations is provided by the Mcp Drizly MCP server (markswendsen-code/mcp-drizly). 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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