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Nyan Parlor: Tarot, I Ching & BaZi

Draw tarot cards

draw_tarot_cards

Draw tarot cards at random from a full 78-card Rider–Waite–Smith deck (cryptographically random, no repeats). Returns each card with its position, upright/reversed orientation, keywords and a link to its full meaning. Use this instead of inventing cards when a user asks for a tarot reading.

Input Schema

NameRequiredDescriptionDefault
countNoHow many cards to draw (1–10). 1 = single card / yes-no, 3 = past-present-future.
languageNoOutput language. Use "ja" when the user writes in Japanese: Japanese card / hexagram names, meanings and links to the Japanese pages. Otherwise "en".en
questionNoThe question being asked (echoed back only; not stored).
positionsNoOptional position names in order, e.g. ["Past", "Present", "Future"].
allow_reversedNoWhether cards can come up reversed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and usefully discloses that draws are cryptographically random with no repeats. It also lists return contents (position, orientation, keywords, meaning link), though it does not explicitly state the absence of side effects or persistence.

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

Conciseness5/5

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

The description is short, front-loaded with the core action and deck scope, and each sentence earns its place. It moves efficiently from what the tool does to what it returns to when to use it.

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?

There is no output schema, but the description explains the key returned fields: position, orientation, keywords, and meaning link. Given the fully described input schema and the tool's straightforward read-only nature, no critical context 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%, so the schema already explains count, language, question, positions, and allow_reversed. The description adds no parameter-level guidance beyond what the schema provides, matching the baseline 3 for fully documented parameters.

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 states a specific verb and resource: drawing tarot cards at random from a full 78-card Rider-Waite-Smith deck. It is clear what the tool does, but it does not explicitly differentiate itself from the sibling get_tarot_card_meaning beyond implying that card meanings are linked.

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?

It gives a clear use case: use this instead of inventing cards when a user asks for a tarot reading. It does not specify when not to use it or name sibling alternatives such as get_tarot_card_meaning for pure meaning lookups.

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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