Crystals MCP Server by RoxyAPI

List crystal planets - Planetary ruler filter API

get_crystals_planets

Read-only

List all unique planetary associations available in the database. Use these values with the planet filter on GET /crystals to find crystals by ruling planet. Essential reference endpoint for astrology app builders who want to recommend crystals based on planetary placements in a birth chart. The values are filter identifiers and stay in English under every lang, so a translated picker still submits a planet the filter accepts.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`lang`	No	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.	en
`compact`	No	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.

Schema Changelog

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

Changed1 schema field changedSep 4, 2026

addedInput schema / properties / lang

Added value: +{
+  "default": "en",
+  "description": "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.",
+  "enum": [
+    "en",
+    "tr",
+    "de",
+    "es",
+    "hi",
+    "pt",
+    "fr",
+    "ru",
+    "zh-Hans",
+    "zh-Hant"
+  ],
+  "example": "en",
+  "type": "string"
+}

Changed2 schema fields changedAug 17, 2026

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."

Changed1 schema field changedJul 22, 2026

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."

Changed1 schema field changedJul 22, 2026

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"
+}

First observedJul 8, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already mark the tool as read-only and non-destructive. The description adds valuable behavioral detail beyond that: planetary values remain English identifiers in every language, so a translated picker still submits values the filter accepts. This is a meaningful, non-obvious behavior for clients.

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 compact and front-loaded: the core listing behavior is in the first sentence, followed by usage context and a cross-language caveat. Each sentence contributes useful information without padding.

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 endpoint with no required parameters, the description supplies the essential context: what is returned, how the values are consumed, and how language affects them. There is no output schema, but the simple reference-endpoint nature means the description is sufficient for an agent to select and call the tool correctly.

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

Parameters4/5

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

Schema coverage is 100%, so lang and compact are already documented with defaults, enums, and examples. The description adds extra semantic value by explaining that language selection does not affect the filter identifiers returned, which is important for correctly using lang with the downstream filter.

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 names a specific action and resource: 'List all unique planetary associations available in the database.' It explicitly ties the output to the planet filter on GET /crystals, which clearly distinguishes it from sibling filter-listing endpoints like chakra, colors, or zodiac sign.

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 usage context: use these values as inputs to the planet filter on GET /crystals for astrology-based recommendations. It does not explicitly state when to prefer alternatives or list exclusions, but the intended workflow is unmistakable.

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

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