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Vedic Astrology and Kundli MCP Server by RoxyAPI

Get KP Placidus house cusps with sub-lords

post_vedic_astrology_kp_cusps
Read-only

Calculate unequal Placidus house cusps with ruling sign-lord, nakshatra-lord, and sub-lord for each cusp. Dynamic KP-Newcomb or custom ayanamsa support. Used in KP horary astrology, cusp sub-lord analysis, and birth chart rectification. Returns all 12 house cusps with KP sub-division details. Use it as a Placidus house cusp calculator that also carries the star lord and sub lord of each cusp, which is what Krishnamurti Paddhati horary work reads first. The latitude must lie below 66.56 degrees north or south, inside the polar circles: KP cusps are Placidus, which has no solution beyond them, so a polar latitude returns 400.

Input Schema

NameRequiredDescriptionDefault
dateYesBirth date in YYYY-MM-DD format
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
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.
ayanamsaNoAyanamsa system for sidereal conversion. "kp-newcomb" uses the KP-Newcomb dynamic formula (most common for KP). "kp-old" uses the Krishnamurti original table. "lahiri" uses Lahiri/Chitrapaksha ayanamsa matching most traditional Vedic software. "raman" uses the B.V. Raman ayanamsa, about 1.45 degrees below Lahiri. "custom" allows providing your own value via ayanamsaValue. Defaults to "kp-newcomb".kp-newcomb
latitudeYesBirth location latitude in decimal degrees. The latitude must lie below 66.56 degrees north or south, inside the polar circles: KP cusps are Placidus, which has no solution beyond them, so a polar latitude returns 400.
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 (IST) for Vedic astrology.
longitudeYesBirth location longitude in decimal degrees
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

NameRequiredDescriptionDefault
cuspsYes
focusYes
ayanamsaYes
houseSystemYes
houseThemesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / latitude / description
      Previous value: -"Birth location latitude in decimal degrees"New value: +"Birth location latitude in decimal degrees. The latitude must lie below 66.56 degrees north or south, inside the polar circles: KP cusps are Placidus, which has no solution beyond them, so a polar latitude returns 400."
  2. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone offset from UTC in hours. Defaults to 5.5 (IST) for Vedic astrology."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 (IST) for Vedic astrology."
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "ayanamsa": {
      +      "type": "number"
      +    },
      +    "cusps": {
      +      "items": {
      +        "properties": {
      +          "house": {
      +            "type": "number"
      +          },
      +          "kpNumber": {
      +            "type": "number"
      +          },
      +          "longitude": {
      +            "type": "number"
      +          },
      +          "nakshatra": {
      +            "type": "string"
      +          },
      +          "nakshatraLord": {
      +            "type": "string"
      +          },
      +          "pada": {
      +            "type": "number"
      +          },
      +          "sign": {
      +            "type": "string"
      +          },
      +          "signLord": {
      +            "type": "string"
      +          },
      +          "starLord": {
      +            "type": "string"
      +          },
      +          "subLord": {
      +            "type": "string"
      +          },
      +          "subSubLord": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "house",
      +          "longitude",
      +          "sign",
      +          "signLord",
      +          "nakshatra",
      +          "nakshatraLord",
      +          "pada",
      +          "starLord",
      +          "subLord",
      +          "subSubLord",
      +          "kpNumber"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "focus": {
      +      "enum": [
      +        "general",
      +        "finance"
      +      ],
      +      "type": "string"
      +    },
      +    "houseSystem": {
      +      "type": "string"
      +    },
      +    "houseThemes": {
      +      "additionalProperties": {
      +        "items": {
      +          "type": "string"
      +        },
      +        "type": "array"
      +      },
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "ayanamsa",
      +    "houseSystem",
      +    "cusps",
      +    "houseThemes",
      +    "focus"
      +  ],
      +  "type": "object"
      +}
  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
    • changedInput schema / properties / ayanamsa / description
      Previous value: -"Ayanamsa system for sidereal conversion. \"kp-newcomb\" uses the KP-Newcomb dynamic formula (most common for KP). \"kp-old\" uses the Krishnamurti original table. \"lahiri\" uses Lahiri/Chitrapaksha ayanamsa matching most traditional Vedic software. \"custom\" allows providing your own value via ayanamsaValue. Defaults to \"kp-newcomb\"."New value: +"Ayanamsa system for sidereal conversion. \"kp-newcomb\" uses the KP-Newcomb dynamic formula (most common for KP). \"kp-old\" uses the Krishnamurti original table. \"lahiri\" uses Lahiri/Chitrapaksha ayanamsa matching most traditional Vedic software. \"raman\" uses the B.V. Raman ayanamsa, about 1.45 degrees below Lahiri. \"custom\" allows providing your own value via ayanamsaValue. Defaults to \"kp-newcomb\"."
    • changedInput schema / properties / ayanamsa / enum
      Previous value: -[
      -  "kp-newcomb",
      -  "kp-old",
      -  "lahiri",
      -  "custom"
      -]New value: +[
      +  "kp-newcomb",
      +  "kp-old",
      +  "lahiri",
      +  "raman",
      +  "custom"
      +]
  7. Changed2 schema fields changed
    • addedInput schema / properties / focus
      Added value: +{
      +  "default": "general",
      +  "description": "Which 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\".",
      +  "enum": [
      +    "general",
      +    "finance"
      +  ],
      +  "example": "general",
      +  "type": "string"
      +}
    • addedInput schema / properties / lang
      Added value: +{
      +  "default": "en",
      +  "description": "Response language (ISO 639-1). Supported: en, tr, de, es, hi, pt, fr, ru. Defaults to en. Languages without translations yet return English.",
      +  "enum": [
      +    "en",
      +    "tr",
      +    "de",
      +    "es",
      +    "hi",
      +    "pt",
      +    "fr",
      +    "ru"
      +  ],
      +  "example": "en",
      +  "type": "string"
      +}
  8. 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."
  9. 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"
      +}
  10. Changed1 schema field changed
    • changedInput schema / properties / timezone / anyOf
      Previous value: -[
      -  {
      -    "maximum": 14,
      -    "minimum": -14,
      -    "type": "number"
      -  },
      -  {
      -    "pattern": "^[A-Za-z_]+(?:\\/[A-Za-z0-9_+-]+){0,2}$",
      -    "type": "string"
      -  }
      -]New value: +[
      +  {
      +    "maximum": 14,
      +    "minimum": -14,
      +    "type": "number"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
  11. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Goes meaningfully beyond the readOnlyHint/destructiveHint annotations with a concrete failure behavior: latitudes at or beyond 66.56 degrees "returns 400," with the geometric reason (Placidus has no solution inside the polar circles). It also discloses the return shape (all 12 cusps with sub-division details) and ayanamsa computation behavior. It does not cover volume, latency, or default house-system overrides, keeping it short of a 5.

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?

The purpose is front-loaded, but the middle section is redundant: "used in KP horary astrology" and "what Krishnamurti Paddhati horary work reads first" restate the same point, and the final latitude sentence duplicates the latitude parameter's schema description almost verbatim. Trimming those would lose no information.

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?

Given 10 parameters, an output schema, and full schema coverage, the description supplies what is missing: the analytical use cases, the return contents, and a hard input constraint with its error mode. The only real gap is that an agent reading this cannot tell from the description alone whether kp_chart or kp_horary is the better call, which for a dense KP tool family is worth naming.

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% and every one of the 10 parameters is documented in the schema, so the baseline is 3. The description adds only that KP-Newcomb and custom ayanamsa are supported, which the ayanamsa enum and ayanamsaValue description already convey; it says nothing about focus, compact, lang, or timezone semantics.

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?

States a specific verb and resource: "Calculate unequal Placidus house cusps with ruling sign-lord, nakshatra-lord, and sub-lord for each cusp," and the closing sentence reinforces the distinguishing feature (star lord and sub lord per cusp). However, it never names the near-siblings that an agent would have to choose between — post_vedic_astrology_kp_chart, kp_horary, and kp_sublord_changes — so differentiation is left implicit.

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?

Clear usage context is given: "Used in KP horary astrology, cusp sub-lord analysis, and birth chart rectification," plus the framing "Use it as a Placidus house cusp calculator." There are no explicit exclusions or named alternatives, which is the main shortfall, but the agent can tell when this tool is applicable.

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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