Cocktail
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_cocktailA | Search for cocktail recipes by name. Returns ingredients, measurements, instructions, and image URL. |
| search_by_ingredientC | Find cocktails that can be made with a specific ingredient. Returns a list of cocktail names and thumbnails. |
| get_random_cocktailA | Get a random cocktail suggestion with full recipe details. Great for discovering new drinks. |
| get_ingredient_infoA | Get detailed information about a cocktail ingredient, including description, type, and whether it contains alcohol. |
| filter_cocktailsB | Filter cocktails by category (e.g., 'Ordinary Drink', 'Cocktail') or by alcoholic/non-alcoholic. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a distinct operation: searching by name, filtering by category, searching by ingredient, getting ingredient info, and random discovery. No overlaps in purpose.
All tools follow a consistent verb_noun pattern (e.g., filter_cocktails, search_by_ingredient, get_random_cocktail), making it easy to predict functionality.
Five tools is an ideal scope for a cocktail recipe server, covering search, filter, ingredient lookup, and random discovery without unnecessary bloat.
The set covers search, filtering, ingredient details, and random discovery. Missing features like rating or user-added recipes are not essential for a reference server.