suggest_cocktail

Suggest a cocktail based on user preferences.

SERVERCocktails RAG MCP Server SOURCE00200200/cocktails-rag-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/00200200-cocktails-rag-mcp/suggest-cocktail.md

WHAT IT DOES

What suggest_cocktail does on Cocktails RAG MCP Server

AI agents call suggest_cocktail to retrieve information from Cocktails RAG MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why suggest_cocktail is rated Low

This tool retrieves and recommends cocktail recipes based on user input. It performs a database query with no side effects, data modification, code execution, deletion, or financial transaction. The worst-case misuse (suggesting an inappropriate drink) has negligible real-world impact.

From the tool's definition Tool name 'suggest_cocktail' and description 'Suggest a cocktail based on user preferences' indicate a query/retrieval operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs suggest_cocktail safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Cocktails RAG MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For suggest_cocktail, this is the rule to start with:

suggest_cocktail Allowed

suggest_cocktail is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "suggest_cocktail": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Cocktails RAG MCP Server, apply this rule, and every suggest_cocktail call is checked against it from then on.

FAQ

Questions about suggest_cocktail

What does the suggest_cocktail tool do? +

Suggest a cocktail based on user preferences. It is categorised as a Read tool in the Cocktails RAG MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_cocktail? +

Register the Cocktails RAG MCP Server MCP server in PolicyLayer and add a rule for suggest_cocktail: 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 Cocktails RAG MCP Server. Nothing to install.

What risk level is suggest_cocktail? +

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

Can I rate-limit suggest_cocktail? +

Yes. Add a rate_limit block to the suggest_cocktail 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 suggest_cocktail completely? +

Set action: deny in the PolicyLayer policy for suggest_cocktail. 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 suggest_cocktail? +

suggest_cocktail is provided by the Cocktails RAG MCP Server MCP server (00200200/cocktails-rag-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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