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Tarot MCP Server by RoxyAPI

Get tarot card by id - Tarot card meaning API

get_tarot_cards_id
Read-only

Retrieve comprehensive details for a specific tarot card from the traditional Rider-Waite-Smith deck including complete upright meanings (card drawn normally) and reversed meanings (inverted/upside down interpretations for nuanced guidance). Each card provides keywords for quick reference, full interpretations (400+ words each for upright and reversed orientations), and guidance across life domains: love and relationships, career and professional growth, finances and material success, health and wellbeing, spirituality and personal development. Major Arcana cards (0-21) reveal deep spiritual lessons and life-changing themes. Minor Arcana cards (Ace through King in Cups, Wands, Swords, Pentacles) address practical daily situations and specific challenges. Use card ID in kebab-case format: Major Arcana like "fool", "magician", "death", "tower", or Minor Arcana like "ace-of-cups", "seven-of-wands", "queen-of-swords", "king-of-pentacles". Major Arcana IDs carry no leading article, though one is accepted, so "the-star" and "star" both return The Star. Essential for detailed tarot study, reading interpretations, divination apps, fortune-telling platforms, spiritual guidance tools, and professional tarot learning applications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCard identifier. Major arcana: "fool", "magician", "death". Minor arcana: "ace-of-cups", "seven-of-wands", "queen-of-swords", "king-of-pentacles". Casing and separators are flexible, so "Fool" and "ACE_OF_CUPS" both resolve, and a leading definite article is optional, so "the-star" resolves to "star". The canonical form, and the one every response echoes, is kebab-case with no article.
langNoResponse language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English.en
compactNoSet true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {"__cols":[names],"__rows":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameYes
suitNo
arcanaYes
numberYes
uprightYes
imageUrlYes
keywordsYes
reversedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "arcana": {
      +      "enum": [
      +        "major",
      +        "minor"
      +      ],
      +      "type": "string"
      +    },
      +    "id": {
      +      "type": "string"
      +    },
      +    "imageUrl": {
      +      "type": "string"
      +    },
      +    "keywords": {
      +      "properties": {
      +        "reversed": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "upright": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        }
      +      },
      +      "required": [
      +        "upright",
      +        "reversed"
      +      ],
      +      "type": "object"
      +    },
      +    "name": {
      +      "type": "string"
      +    },
      +    "number": {
      +      "type": "number"
      +    },
      +    "reversed": {
      +      "properties": {
      +        "career": {
      +          "type": "string"
      +        },
      +        "description": {
      +          "type": "string"
      +        },
      +        "finances": {
      +          "type": "string"
      +        },
      +        "health": {
      +          "type": "string"
      +        },
      +        "keywords": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "love": {
      +          "type": "string"
      +        },
      +        "spirituality": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "keywords",
      +        "description"
      +      ],
      +      "type": "object"
      +    },
      +    "suit": {
      +      "enum": [
      +        "cups",
      +        "wands",
      +        "swords",
      +        "pentacles"
      +      ],
      +      "type": "string"
      +    },
      +    "upright": {
      +      "properties": {
      +        "career": {
      +          "type": "string"
      +        },
      +        "description": {
      +          "type": "string"
      +        },
      +        "finances": {
      +          "type": "string"
      +        },
      +        "health": {
      +          "type": "string"
      +        },
      +        "keywords": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "love": {
      +          "type": "string"
      +        },
      +        "spirituality": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "keywords",
      +        "description"
      +      ],
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "id",
      +    "name",
      +    "arcana",
      +    "number",
      +    "keywords",
      +    "upright",
      +    "reversed",
      +    "imageUrl"
      +  ],
      +  "type": "object"
      +}
  2. Changed2 schema fields changed
    • changedInput schema / properties / lang / description
      Previous value: -"Response language (ISO 639-1). Supported: en, tr, de, es, hi, pt, fr, ru. Defaults to en. Languages without translations yet return English."New value: +"Response language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English."
    • changedInput schema / properties / lang / enum
      Previous value: -[
      -  "en",
      -  "tr",
      -  "de",
      -  "es",
      -  "hi",
      -  "pt",
      -  "fr",
      -  "ru"
      -]New value: +[
      +  "en",
      +  "tr",
      +  "de",
      +  "es",
      +  "hi",
      +  "pt",
      +  "fr",
      +  "ru",
      +  "zh-Hans",
      +  "zh-Hant"
      +]
  3. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Unique card identifier in kebab-case. Major arcana: \"fool\", \"magician\", \"death\", etc. Minor arcana: \"ace-of-cups\", \"seven-of-wands\", \"queen-of-swords\", \"king-of-pentacles\", etc."New value: +"Card identifier. Major arcana: \"fool\", \"magician\", \"death\". Minor arcana: \"ace-of-cups\", \"seven-of-wands\", \"queen-of-swords\", \"king-of-pentacles\". Casing and separators are flexible, so \"Fool\" and \"ACE_OF_CUPS\" both resolve, and a leading definite article is optional, so \"the-star\" resolves to \"star\". The canonical form, and the one every response echoes, is kebab-case with no article."
  4. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "id": "fool"
      +  }
      +]
    • changedInput schema / properties / compact / description
      Previous value: -"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."New value: +"Set true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {\"__cols\":[names],\"__rows\":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens."
  5. Changed1 schema field changed
    • changedInput schema / properties / compact / description
      Previous value: -"Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false."New value: +"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."
  6. Changed1 schema field changed
    • addedInput schema / properties / compact
      Added value: +{
      +  "default": false,
      +  "description": "Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false.",
      +  "type": "boolean"
      +}
  7. First observed

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: flexible ID parsing ('Fool' and 'ACE_OF_CUPS' both resolve) and optional leading-article handling ('the-star' resolves to 'star'). No mention of rate limits or pagination, but those are not indicated as concerns for this tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is substantial (~200 words) but earns its length: it front-loads the core purpose, then logically progresses through content coverage, ID formats, and use cases. The final enumeration of application types is slightly redundant with the opening use-case framing, but the structure keeps the most decision-relevant information first.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation. The description covers the card content, ID formats and flexibility, arcana distinctions, and target use cases; the schema covers lang fallback and compact shaping. Nothing an agent needs to invoke this tool correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% — all three parameters (id, lang, compact) have detailed schema-level descriptions including examples, defaults, and behavior. The description reinforces the ID format and article flexibility, but since the schema already documents this thoroughly, the description adds only marginal value beyond structured data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Retrieve comprehensive details for a specific tarot card from the traditional Rider-Waite-Smith deck', stating a specific verb, resource, and scope. It clearly differentiates from siblings by focusing on a single-card lookup with upright and reversed meanings, which none of the spread/draw siblings claim.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit use-case context ('Essential for detailed tarot study, reading interpretations, divination apps...') that tells an agent when this tool fits. However, it never names the sibling it is not — notably get_tarot_cards for bulk listing — so no explicit when-not-to-use or alternative routing is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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