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Vedic Astrology and Kundli MCP Server by RoxyAPI

Get Bhava Bala (house strength) for all twelve houses - Bhava Bala Calculator API

post_vedic_astrology_bhava_bala
Read-only

Calculate Bhava Bala (house strength) for all twelve bhavas per Brihat Parashara Hora Shastra (BPHS) and BV Raman Graha and Bhava Balas. Returns the three classical components (Bhavadhipati Bala from the house lord Shadbala, Bhava Digbala from the rashi class and direction, Bhava Drishti Bala from aspects on the bhava madhya) plus totals in virupas and rupas and a strength ranking. Bhavas are built on unequal Sripati mid-cusps, so a house near a sign boundary is measured where it actually falls. Shadbala measures which graha is strong, Bhava Bala measures which life area is strong, and reading both together is how a practitioner separates a strong planet in a weak house from a weak planet in a strong one. Bhava Bala calculator API, house strength Vedic astrology, bhava bala virupas, Bhavadhipati Bala, Bhava Digbala, Sripati bhava madhya.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesBirth date in YYYY-MM-DD format. Date determines planetary positions and nakshatra calculations for Vedic kundli (janam patri). Accurate birth date is essential for dashas, yoga calculations, and divisional charts (vargas).
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
timeYesBirth time in 24-hour HH:MM:SS format. Time is CRITICAL for Lagna (Ascendant) calculation and house divisions. It changes every two hours roughly. Even minutes matter for accurate nakshatra pada and divisional chart (D9, D10) calculations. Without exact time, Lagna and house-based predictions will be incorrect.
focusNoWhich signification vocabulary the houseThemes map returns. "general" gives the classical bhava significations (self, wealth, siblings, home, and so on). "finance" gives the money reading of the same twelve bhavas, so house 2 returns income and savings, 5 speculation and risk appetite, 8 sudden money and leverage, 11 gains and profits, and 12 expenses and capital outflow. Use "finance" for wealth, income, business and market timing questions in Krishnamurti Paddhati, where the significator house groups 2, 6, 10, 11 for earned income and 5, 8, 11 for speculation are read against a running dasha. Defaults to "general".general
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.
ayanamsaNoSidereal frame (ayanamsa) the chart is cast in. "lahiri" is Lahiri/Chitrapaksha, the traditional Vedic standard used by most software, and is the default. "raman" is the B.V. Raman ayanamsa from Hindu Predictive Astrology, about 1.45 degrees below Lahiri. "kp-newcomb" and "kp-old" are the two Krishnamurti Paddhati frames. "custom" takes your own value in degrees via ayanamsaValue, for reconciling exactly against a specific reference program. The frame rotates the whole zodiac, so a graha sitting within 1.45 degrees of a boundary can change rashi or nakshatra when you switch: pick the one your reference software uses and keep it.lahiri
latitudeYesBirth location latitude in decimal degrees. Location determines local sidereal time for Lagna calculation and affects bhava (house) cusps. Example: Delhi 28.6139, Mumbai 19.0760, Kathmandu 27.7172.
timezoneNoTimezone: an IANA name (e.g. "America/New_York", "Europe/London", or `cities[0].timezone` from /location/search) or decimal hours from UTC (e.g. -5 for EST, 5.5 for IST). An IANA name is resolved to the offset in force at the given date and time. Defaults to 5.5.
longitudeYesBirth location longitude in decimal degrees. Affects local time calculations and ayanamsha adjustments. Example: Delhi 77.2090, Mumbai 72.8777, Kathmandu 85.3240.
ayanamsaValueNoCustom ayanamsa value in degrees. When provided, overrides the computed ayanamsa from the selected type. Use for testing with specific ayanamsa values or matching a particular reference source.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusYes
frameYes
bhavasYes
houseSystemYes
houseThemesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the offset in force at the given date and time, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."New value: +"Timezone: an IANA name (e.g. \"America/New_York\", \"Europe/London\", or `cities[0].timezone` from /location/search) or decimal hours from UTC (e.g. -5 for EST, 5.5 for IST). An IANA name is resolved to the offset in force at the given date and time. Defaults to 5.5."
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "bhavas": {
      +      "items": {
      +        "properties": {
      +          "bhavadhipatiBala": {
      +            "type": "number"
      +          },
      +          "digBala": {
      +            "type": "number"
      +          },
      +          "drishtiBala": {
      +            "type": "number"
      +          },
      +          "house": {
      +            "type": "number"
      +          },
      +          "lord": {
      +            "type": "string"
      +          },
      +          "madhya": {
      +            "type": "number"
      +          },
      +          "rank": {
      +            "type": "number"
      +          },
      +          "rashi": {
      +            "type": "string"
      +          },
      +          "totalRupas": {
      +            "type": "number"
      +          },
      +          "totalVirupas": {
      +            "type": "number"
      +          }
      +        },
      +        "required": [
      +          "house",
      +          "rashi",
      +          "madhya",
      +          "lord",
      +          "bhavadhipatiBala",
      +          "digBala",
      +          "drishtiBala",
      +          "totalVirupas",
      +          "totalRupas",
      +          "rank"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "focus": {
      +      "enum": [
      +        "general",
      +        "finance"
      +      ],
      +      "type": "string"
      +    },
      +    "frame": {
      +      "properties": {
      +        "ayanamsa": {
      +          "type": "string"
      +        },
      +        "ayanamsaDegrees": {
      +          "type": "number"
      +        }
      +      },
      +      "required": [
      +        "ayanamsa",
      +        "ayanamsaDegrees"
      +      ],
      +      "type": "object"
      +    },
      +    "houseSystem": {
      +      "type": "string"
      +    },
      +    "houseThemes": {
      +      "additionalProperties": {
      +        "items": {
      +          "type": "string"
      +        },
      +        "type": "array"
      +      },
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "frame",
      +    "houseSystem",
      +    "bhavas",
      +    "houseThemes",
      +    "focus"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the DST-correct offset for the given date, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."New value: +"Timezone: IANA name (e.g. \"America/New_York\", \"Europe/London\") OR decimal hours from UTC (e.g. -5 for EST, 1 for CET). IANA strings are resolved to the offset in force at the given date and time, so you can pass `cities[0].timezone` from /location/search directly. Defaults to 5.5."
  4. 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"
      +]
  5. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "date": "1990-07-04",
      +    "latitude": 28.6139,
      +    "longitude": 77.209,
      +    "time": "10:12:00"
      +  }
      +]
    • 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."
  6. Changed2 schema fields changed
    • addedInput schema / properties / ayanamsa
      Added value: +{
      +  "default": "lahiri",
      +  "description": "Sidereal frame (ayanamsa) the chart is cast in. \"lahiri\" is Lahiri/Chitrapaksha, the traditional Vedic standard used by most software, and is the default. \"raman\" is the B.V. Raman ayanamsa from Hindu Predictive Astrology, about 1.45 degrees below Lahiri. \"kp-newcomb\" and \"kp-old\" are the two Krishnamurti Paddhati frames. \"custom\" takes your own value in degrees via ayanamsaValue, for reconciling exactly against a specific reference program. The frame rotates the whole zodiac, so a graha sitting within 1.45 degrees of a boundary can change rashi or nakshatra when you switch: pick the one your reference software uses and keep it.",
      +  "enum": [
      +    "kp-newcomb",
      +    "kp-old",
      +    "lahiri",
      +    "raman",
      +    "custom"
      +  ],
      +  "example": "lahiri",
      +  "type": "string"
      +}
    • addedInput schema / properties / ayanamsaValue
      Added value: +{
      +  "description": "Custom ayanamsa value in degrees. When provided, overrides the computed ayanamsa from the selected type. Use for testing with specific ayanamsa values or matching a particular reference source.",
      +  "example": 24,
      +  "type": "number"
      +}
  7. Added

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already mark the tool read-only/non-destructive, and the description adds substantive behavioral detail: it enumerates the three computed components, the virupa/rupa totals and strength ranking, and the use of unequal Sripati mid-cusps rather than sign boundaries. There is no contradiction with the annotations.

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

Conciseness3/5

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

Front-loaded: the first sentence states the operation and scope, followed by components and method. However, the final keyword sentence ('Bhava Bala calculator API, house strength Vedic astrology...') is filler that adds no agent-facing value and could be deleted.

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 complex 10-parameter calculation, the description covers output (components, units, ranking), computational basis (Sripati mid-cusps), and the relationship to the Shadbala sibling; the output schema covers return structure. Nothing essential for selecting or invoking the tool appears 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 input parameters are already fully documented and the description need not repeat them. The description adds conceptual context about what the computation depends on but no new parameter syntax or defaults. Baseline 3 is appropriate.

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 names a specific verb ('Calculate') and resource ('Bhava Bala (house strength) for all twelve bhavas'), and ties it to classical sources (BPHS, BV Raman). It also distinguishes from the likely sibling by explaining that Shadbala measures planet strength while Bhava Bala measures life-area strength. This is clearly not a tautology and would let an agent pick it among the Vedic siblings.

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 implies strong usage context: if the question is about strong life areas, choose Bhava Bala; if it's about which graha is strong, use Shadbala; and it advises using both to separate a strong planet in a weak house from a weak planet in a strong one. It doesn't explicitly say 'use this instead of X' or list exclusion cases, so it stops one step short of fully explicit routing.

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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