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Crystals MCP Server by RoxyAPI

List all crystals - Crystal healing database API

get_crystals
Read-only

Retrieve healing crystals and gemstones with pagination. Supports optional filtering by chakra, zodiac sign, element, color, or planet. Returns minimal summary fields per crystal. Use the detail endpoint for full healing properties. Perfect for building crystal explorer apps, healing stone guides, and personalized crystal recommendation engines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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
colorNoFilter by crystal color (partial match, case-insensitive). E.g., "pink", "green", "blue", "purple". Use GET /colors for valid values.
limitNoMaximum items to return per page. Range: 1-100, default 20.
chakraNoFilter by chakra association, case-insensitive. Valid values: Root, Sacral, Solar Plexus, Heart, Throat, Third Eye, Crown.
offsetNoNumber of items to skip for pagination. Default 0.
planetNoFilter by planetary association (partial match, case-insensitive). E.g., "Venus", "Moon", "Jupiter". Use GET /planets for valid values.
zodiacNoFilter by zodiac sign, case-insensitive. Valid values: aries, taurus, gemini, cancer, leo, virgo, libra, scorpio, sagittarius, capricorn, aquarius, pisces.
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.
elementNoFilter by elemental association, case-insensitive. Valid values: Earth, Water, Fire, Air, Storm.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 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"
      +]
  2. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {}
      +]
    • 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."
  3. Changed1 schema field changed
    • changedInput schema / properties / offset / type
      Previous value: -"integer"New value: +[
      +  "integer",
      +  "null"
      +]
  4. 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."
  5. 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"
      +}
  6. First observed

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 safety. The description adds meaningful behavioral context: results are paginated, only minimal summary fields are returned, and full healing properties are intentionally deferred to another endpoint. This goes beyond what annotations and the schema express.

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 first two sentences are tight and front-load the core facts: list, pagination, filters, and summary-only output. The final sentence about building explorer apps is promotional rather than operational, but the overall length is still appropriate and readable.

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 read-only list tool with nine fully self-documenting parameters, the description gives sufficient context: pagination, filterable dimensions, summary-only output, and a pointer to the detail endpoint. It doesn't describe the exact response envelope, but return granularity is already communicated.

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 coverage is 100% and every parameter has its own description, enum, default, or example. The description's mention of filtering by chakra, zodiac, element, color, and planet mirrors the schema but doesn't add extra meaning such as combination semantics or response behavior, so the baseline 3 applies.

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 a concrete action (retrieve) on a clear resource (healing crystals and gemstones) with pagination and optional filters. It separates itself from the detail endpoint, but does not explicitly disambiguate from sibling tools like get_crystals_search or the chakra/zodiac-specific endpoints.

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 clear context that this is the paginated list/filter entry point and explicitly directs agents to the detail endpoint when full healing properties are needed. It doesn't name the exact sibling tools or spell out when to prefer search over this endpoint, but the usage intent is well conveyed.

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

A3.9/5.0
Disambiguation3/5

The main get_crystals endpoint already supports filtering by chakra, element, and zodiac, making the dedicated filter endpoints partially redundant. However, each tool has a clearly named purpose, so an agent can usually pick the right one.

Naming Consistency4/5

Most tools follow a consistent get_crystals_<suffix> pattern, but post_crystals_daily breaks the verb convention, and suffix ordering is slightly inconsistent (e.g., pairings_id vs id).

Tool Count5/5

12 tools is well within the ideal range for a domain-specific read-only API. Each tool serves a distinct browsing, search, detail, filter, reference, or discovery function.

Completeness4/5

The surface covers listing, detail, search, filters, random, daily, pairings, and reference values. Minor gap: no direct tool for enumerating chakras/elements/zodiac signs, though those are small fixed sets handled by the main list.

Resources