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Random Fantasy Tavern Menu Card Generator

Compose a fictional venue and distinct supplied dishes or drinks with unrounded synthetic prices in an explicit currency.

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Description

Compose a fictional venue and distinct supplied dishes or drinks with unrounded synthetic prices in an explicit currency.

Worldbuilding fixtures describe an invented setting through supplied entities and explicit relations. A reproducible arrangement can support games or writing exercises while keeping constructed history and geography separate from factual claims about the real world.

Compose a fictional venue and distinct supplied dishes or drinks with unrounded synthetic prices in an explicit currency.

When to use this tool

Use this generator to create reproducible fantasy tavern menu card cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

  1. Supply venues, currency, count, items in the field shapes below. Set seed when you need an explicit replay.
  2. Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
  3. Read fictional, venue, currency, items. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Sample one venue and distinct supplied menu items without replacement. Interpolate each item's price between its declared bounds and return its supplied description and kind with the fictional currency label.1

Input fieldMeaning and unitsAccepted input
venuesVenuesRequired. Array of Text; maximum UTF-16 length 2048.; minimum items 1; maximum items 32.
currencyCurrencyRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
countCountRequired. Safe integer; minimum 1; maximum 32.
itemsItemsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 64.
items[].idLiteral identifier used independently of display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
items[].kindKindRequired. Text; one of "dish", "drink".
items[].descriptionDescriptionRequired. Text; maximum UTF-16 length 2048.
items[].minimumPriceMinimum PriceRequired. Finite number; minimum 0.
items[].maximumPriceMaximum PriceRequired. Finite number; minimum 0.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
fictionalFictionalRequired. Boolean; exactly true.
venueVenueRequired. Text; maximum UTF-16 length 2048.
currencyCurrencyRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
itemsItemsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
items[].idLiteral identifier used independently of display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
items[].kindKindRequired. Text; one of "dish", "drink".
items[].descriptionDescriptionRequired. Text; maximum UTF-16 length 2048.
items[].pricePriceRequired. Finite number.
randomnessReplay source and normalized 32-bit seed, or null seed for an advancing context source.Required. Object; no unknown keys.
randomness.seedOptional safe-integer replay seed; normalization and precedence are explained below.Required. Safe integer. or Null.
randomness.sourceSourceRequired. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json
{
  "input": {
    "venues": [
      "The Copper Moon",
      "The Quiet Anchor"
    ],
    "currency": "silver pieces",
    "count": 2,
    "items": [
      {
        "id": "stew",
        "kind": "dish",
        "description": "Harbor vegetable stew",
        "minimumPrice": 3,
        "maximumPrice": 3
      },
      {
        "id": "tea",
        "kind": "drink",
        "description": "Orchard leaf tea",
        "minimumPrice": 1,
        "maximumPrice": 3
      }
    ],
    "seed": 42
  },
  "output": {
    "fictional": true,
    "venue": "The Quiet Anchor",
    "currency": "silver pieces",
    "items": [
      {
        "id": "stew",
        "kind": "dish",
        "description": "Harbor vegetable stew",
        "price": 3
      },
      {
        "id": "tea",
        "kind": "drink",
        "description": "Orchard leaf tea",
        "price": 1.3496277974918485
      }
    ],
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • Prices are synthetic numeric values, not minor-unit accounting or real purchasing information. The tool does not validate recipes, nutrients, allergens, or food safety.
  • A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
  • The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

  1. Tool behavior and example: Random Fantasy Tavern Menu Card Generator — tool.io

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