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Tarot MCP Server by RoxyAPI

Get daily tarot card reading

post_tarot_daily
Read-only

Receive a single tarot card for daily guidance and reflection. This endpoint uses seeded randomness to ensure the same seed gets the same card on the same day - perfect for "Card of the Day" features. Provide a seed (userId, email hash, session token) for reproducible consistency, or omit for anonymous daily draws. Returns card with keywords, full meaning, and a daily message summary. Great for tarot apps, wellness platforms, morning ritual apps, and journaling tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate for the reading in YYYY-MM-DD format. Defaults to today (UTC). Useful for viewing past daily readings or pre-generating future ones.
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
seedNoOptional seed for reproducible readings. Same seed + same date = same card every time. Pass any unique identifier (userId, email hash, session token). Omit for anonymous daily readings.
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.

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish read-only and non-destructive behavior. The description adds meaningful behavioral detail beyond that: seeded randomness, same seed + same day reproducibility, anonymous draw behavior, and the returned content shape. This is useful context for an AI agent deciding whether to call the 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 organized with the core purpose first, then determinism, then usage examples, then return details. The 'Great for tarot apps...' sentence is slightly promotional but still helps an agent identify likely use cases, so no sentence feels wasted.

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

Completeness4/5

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

For a simple optional-parameter read endpoint, the description covers the core behavioral model, return content, seed reproducibility, and language/date flexibility is present in the schema. The only omission is an explicit note about how this choice compares to post_tarot_draw, but that is a minor gap given the overall completeness.

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%, so the parameters are already well documented. The description re-emphasizes the seed semantics and result shape, but adds only modest conceptual context beyond the schema. Baseline 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool's function: returning a single tarot card for daily guidance, which distinguishes it from the multi-card spread endpoints. It is specific about the resource and behavior without naming a sibling explicitly, so it stops just short of a perfect score.

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 clear context for when this fits: 'Card of the Day' features, morning ritual apps, journaling tools, and daily reflection. It does not explicitly compare itself to post_tarot_draw or add 'use X instead' guidance, so it lacks full alternative routing.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: deck list/detail, daily draws, generic draws, four named spreads, custom spreads, and yes/no readings. Even the overlapping draw endpoints are distinguishable by their specific use cases.

Naming Consistency5/5

All tool names consistently follow a snake_case verb_tarot_resource pattern, which makes the toolset predictable and easy to navigate. The only minor oddity is get_tarot_cards_id, but it does not break the overall convention.

Tool Count5/5

Ten tools is an ideal size for a tarot API: two reference tools, one daily draw, one generic draw, four fixed spreads, one custom spread, and one yes/no tool. Each tool earns its place without overlap or bloat.

Completeness5/5

The surface covers the full tarot domain: browsing cards, retrieving detailed card interpretations, drawing cards, multiple popular spread types, custom spreads, and targeted yes/no guidance. There are no obvious dead ends or critical missing workflows.

Resources