get_preferences

Get your current dietary preferences including vegetarian settings, allergens, cuisine types, and family-friendly options.

Server HelloFresh MCP Server markswendsen-code/mcp-hellofresh
Category Read
Risk class Low
Parameters 00 required

What get_preferences does on HelloFresh MCP Server

AI agents call get_preferences to retrieve information from HelloFresh MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_preferences needs a policy

This tool queries existing user preference data without modifying, deleting, or executing any operations. It has minimal blast radius—an AI agent cannot misuse this to cause harm, financial loss, or data destruction. The only potential concern would be information disclosure, but in a legitimate HelloFresh account context, the account holder's own preferences are expected to be readable.

From the tool's definition Tool name 'get_preferences' and description 'Get your current dietary preferences' indicates a retrieval operation with no side effects.

Questions about get_preferences

What does the get_preferences tool do? +

Get your current dietary preferences including vegetarian settings, allergens, cuisine types, and family-friendly options. It is categorised as a Read tool in the HelloFresh MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_preferences? +

Register the HelloFresh MCP Server MCP server in PolicyLayer and add a rule for get_preferences: 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 HelloFresh MCP Server. Nothing to install.

What risk level is get_preferences? +

get_preferences is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_preferences? +

Yes. Add a rate_limit block to the get_preferences 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.

How do I block get_preferences completely? +

Set action: deny in the PolicyLayer policy for get_preferences. 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.

What MCP server provides get_preferences? +

get_preferences is provided by the HelloFresh MCP Server MCP server (markswendsen-code/mcp-hellofresh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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