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Vedic Astrology and Kundli MCP Server by RoxyAPI

List all planetary yogas - 301 entry Vedic Yoga Glossary

get_vedic_astrology_yoga
Read-only

Browse the 301-entry Vedic planetary-yoga glossary. Returns id and name for every cataloged yoga (Raja, Dhana, Pancha Mahapurusha, Nabhasa, Chandra-Mangala, and more). This is a dictionary lookup, not chart-driven detection: it does not inspect a birth chart. Use GET /yoga/{id} for the full glossary entry, or POST /yoga/detect to run all 48 detection rules against a specific kundli. Ideal for yoga-browser UIs, search, and progressive data loading.

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
familyNoFilter the catalog to one Nabhasa family: asraya (3), dala (2), akriti (20) or sankhya (7). Omit for the full catalog. `classical` is accepted but matches nothing here, because it is a detection-verdict value for single-combination yogas rather than a catalog grouping.
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
totalYes
yogasYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "total": {
      +      "type": "number"
      +    },
      +    "yogas": {
      +      "items": {
      +        "properties": {
      +          "family": {
      +            "enum": [
      +              "classical",
      +              "asraya",
      +              "dala",
      +              "akriti",
      +              "sankhya"
      +            ],
      +            "type": "string"
      +          },
      +          "id": {
      +            "type": "string"
      +          },
      +          "name": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "name"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "yogas",
      +    "total"
      +  ],
      +  "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. 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."
  4. Changed1 schema field changed
    • addedInput schema / properties / family
      Added value: +{
      +  "description": "Filter the catalog to one Nabhasa family: asraya (3), dala (2), akriti (20) or sankhya (7). Omit for the full catalog. `classical` is accepted but matches nothing here, because it is a detection-verdict value for single-combination yogas rather than a catalog grouping.",
      +  "enum": [
      +    "classical",
      +    "asraya",
      +    "dala",
      +    "akriti",
      +    "sankhya"
      +  ],
      +  "example": "akriti",
      +  "type": "string"
      +}
  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

A4.5/5.0
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 meaningful behavioral context: it is a pure catalog listing, not chart-driven, and returns id/name for the whole catalog. This goes beyond the annotations without contradicting them.

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 front-loaded with the resource and return shape, then immediately clarifies the critical scoping fact (dictionary, not chart-driven). It names sibling routes and use cases without wasted filler, and every sentence adds selection-relevant information.

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?

For a read-only glossary listing with an output schema and 100% schema-covered parameters, the description covers purpose, scope, return content, exclusions, and routing alternatives. Nothing an agent needs to decide whether to call this tool 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 documents all three parameters (lang, family, compact) with defaults, enums, and descriptions. The tool description does not repeat or augment parameter details, which is acceptable given the schema's completeness; the baseline of 3 applies.

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 states a specific verb ('Browse') and resource ('301-entry Vedic planetary-yoga glossary') and explicitly says it returns id and name for every cataloged yoga. It also distinguishes itself from the sibling GET /yoga/{id} and POST /yoga/detect by clarifying it is a dictionary lookup, not chart-driven detection.

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

Usage Guidelines5/5

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

The description explicitly says when to use this tool ('Ideal for yoga-browser UIs, search, and progressive data loading') and what it is not for ('does not inspect a birth chart'). It names the alternatives: GET /yoga/{id} for a full entry and POST /yoga/detect for rule-based detection against a kundli, which is clear routing guidance.

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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