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Vedic Astrology and Kundli MCP Server by RoxyAPI

Get Nakshatra by ID - Lunar Mansion Detail

get_vedic_astrology_nakshatras_id
Read-only

Get detailed information for a single nakshatra (lunar mansion) by its ID slug, one of the 27 nakshatras of Vedic astrology. Returns name, zodiac range, ruling planet, presiding deity, symbol, personality characteristics, and traditional remedies including mantras, gemstones, and rituals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesNakshatra ID slug. Examples: ashwini, bharani, krittika, rohini, mrigashira, ardra, punarvasu, pushya, ashlesha, magha, etc.
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
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
idYes
lordYes
nameYes
deityYes
rangeYes
numberYes
symbolYes
remediesYes
characteristicsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "characteristics": {
      +      "type": "string"
      +    },
      +    "deity": {
      +      "type": "string"
      +    },
      +    "id": {
      +      "type": "string"
      +    },
      +    "lord": {
      +      "type": "string"
      +    },
      +    "name": {
      +      "type": "string"
      +    },
      +    "number": {
      +      "type": "number"
      +    },
      +    "range": {
      +      "type": "string"
      +    },
      +    "remedies": {
      +      "properties": {
      +        "gemstones": {
      +          "type": "string"
      +        },
      +        "mantras": {
      +          "type": "string"
      +        },
      +        "rituals": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "mantras",
      +        "gemstones",
      +        "rituals"
      +      ],
      +      "type": "object"
      +    },
      +    "symbol": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "id",
      +    "name",
      +    "number",
      +    "range",
      +    "lord",
      +    "deity",
      +    "symbol",
      +    "characteristics",
      +    "remedies"
      +  ],
      +  "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: +[
      +  {
      +    "id": "ashwini"
      +  }
      +]
    • 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
    • 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

A4.3/5.0
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 value by disclosing the specific content of the response (name, zodiac range, ruling planet, remedies, etc.), which goes beyond the schema's parameter definitions. It does not mention potential edge cases like invalid IDs or error handling, but for a read-only lookup this is acceptable.

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 a single, well-structured sentence that front-loads the purpose and then lists the key returned fields. There is no redundancy or filler; every clause contributes useful information. It is appropriately sized for the tool's complexity.

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?

The tool has an output schema, so the return structure is already defined elsewhere. The description covers the purpose, the parameter (ID), and the nature of the response. With the schema and annotations in place, nothing an agent needs to invoke the tool correctly is missing—including language options and compact mode, which are documented in the schema.

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 all three parameters are already well-documented with types, enums, defaults, and examples. The tool description does not add meaning beyond what the schema provides—it merely repeats 'ID slug' without additional syntax or format details. This aligns with the baseline score of 3 when the schema carries the explanatory burden.

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?

Description clearly states the verb 'Get' and the resource 'single nakshatra (lunar mansion) by its ID slug', and lists the specific data returned (name, zodiac range, ruling planet, etc.). It is distinct from the sibling list tool (get_vedic_astrology_nakshatras) and other ID-based lookups by naming the exact domain and entity.

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 implies usage for retrieving a single nakshatra by ID, and the context of siblings (plural vs. singular) makes the intended use clear. However, it does not explicitly mention when not to use it or point to the alternative list tool, so it falls short of the explicit 'when/when-not' guidance seen in top-tier definitions.

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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