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Vedic Astrology and Kundli MCP Server by RoxyAPI

Monthly Transit - Planetary sign changes for an entire month

post_vedic_astrology_transit_monthly
Read-only

Get all planetary sign (rashi) changes for a given month. Shows when each planet transitions from one zodiac sign to another. Covers all 9 Vedic planets: Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn, Rahu, Ketu. Includes starting positions at the beginning of the month. Omit year and month to get the month in progress, so a published gochar calendar stays current without a redeploy. Essential for transit prediction, monthly horoscope generation, and muhurta planning. Monthly planetary transit API, gochar calendar, rashi parivartan dates.

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
yearNoYear for monthly transit analysis (1551 to 2649). Defaults to the current year (UTC).
monthNoMonth number (1-12) for transit analysis. Defaults to the current month (UTC).
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.
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 once, at the start of the window, and that offset applies to every time in the response. Output times are converted to this timezone. Defaults to 0 (UTC).
coordinateSystemNoCoordinate system for longitude output. "sidereal" (Nirayana) uses Lahiri ayanamsa, the standard for Vedic astrology. "tropical" (Sayana) uses raw ecliptic longitude matching Western astrology. Defaults to "sidereal".sidereal

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
monthYes
timezoneYes
transitEventsYes
startingPositionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • changedInput schema / properties / year / description
      Previous value: -"Year for monthly transit analysis (1900-2100). Defaults to the current year (UTC)."New value: +"Year for monthly transit analysis (1551 to 2649). Defaults to the current year (UTC)."
    • changedInput schema / properties / year / maximum
      Previous value: -2100New value: +2649
    • changedInput schema / properties / year / minimum
      Previous value: -1900New value: +1551
  2. Changed1 schema field changed
    • changedInput schema / properties / timezone / description
      Previous value: -"Timezone offset from UTC in hours. Output times are converted to this timezone. Defaults to 0 (UTC)."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 once, at the start of the window, and that offset applies to every time in the response. Output times are converted to this timezone. Defaults to 0 (UTC)."
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "month": {
      +      "type": "number"
      +    },
      +    "startingPositions": {
      +      "items": {
      +        "properties": {
      +          "longitude": {
      +            "type": "number"
      +          },
      +          "planet": {
      +            "type": "string"
      +          },
      +          "planetLocalized": {
      +            "type": "string"
      +          },
      +          "sign": {
      +            "type": "string"
      +          },
      +          "signLocalized": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "planet",
      +          "sign",
      +          "longitude"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "timezone": {
      +      "type": "number"
      +    },
      +    "transitEvents": {
      +      "items": {
      +        "properties": {
      +          "date": {
      +            "type": "string"
      +          },
      +          "datetime": {
      +            "type": "string"
      +          },
      +          "fromSign": {
      +            "type": "string"
      +          },
      +          "fromSignLocalized": {
      +            "type": "string"
      +          },
      +          "isRetrograde": {
      +            "type": "boolean"
      +          },
      +          "planet": {
      +            "type": "string"
      +          },
      +          "planetLocalized": {
      +            "type": "string"
      +          },
      +          "time": {
      +            "type": "string"
      +          },
      +          "toSign": {
      +            "type": "string"
      +          },
      +          "toSignLocalized": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "planet",
      +          "fromSign",
      +          "toSign",
      +          "date",
      +          "time",
      +          "datetime",
      +          "isRetrograde"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "year": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "year",
      +    "month",
      +    "timezone",
      +    "startingPositions",
      +    "transitEvents"
      +  ],
      +  "type": "object"
      +}
  4. Changed1 schema field changed
    • changedInput schema / properties / coordinateSystem / description
      Previous value: -"Coordinate system for longitude output. \"sidereal\" (Nirayana) uses Lahiri ayanamsa - standard for Vedic astrology. \"tropical\" (Sayana) uses raw ecliptic longitude matching Western astrology. Defaults to \"sidereal\"."New value: +"Coordinate system for longitude output. \"sidereal\" (Nirayana) uses Lahiri ayanamsa, the standard for Vedic astrology. \"tropical\" (Sayana) uses raw ecliptic longitude matching Western astrology. Defaults to \"sidereal\"."
  5. 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"
      +]
  6. 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."
  7. Changed4 schema fields changed
    • 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"
      +}
    • changedInput schema / properties / month / description
      Previous value: -"Month number (1-12) for transit analysis."New value: +"Month number (1-12) for transit analysis. Defaults to the current month (UTC)."
    • changedInput schema / properties / year / description
      Previous value: -"Year for monthly transit analysis (1900-2100)."New value: +"Year for monthly transit analysis (1900-2100). Defaults to the current year (UTC)."
    • removedInput schema / required
      Removed value: -[
      -  "year",
      -  "month"
      -]
  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

A3.5/5.0
Behavior3/5

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 real content scope (all 9 Vedic planets, includes starting positions at month start), but the 'omit year and month' behavior merely restates the schema defaults rather than disclosing anything new.

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?

Front-loaded with the core purpose and planet coverage in the first two sentences, which earn their place. The trailing keyword list ('Monthly planetary transit API, gochar calendar, rashi parivartan dates') is search-oriented filler rather than agent-useful content, slightly diluting an otherwise tight description.

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?

With an output schema present, return-value explanation is unnecessary, and all six optional parameters are documented in the schema with defaults. The description supplies scope, default behavior, and use cases, leaving only explicit sibling differentiation as a gap.

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 every parameter (lang, year, month, compact, timezone, coordinateSystem) is already documented in the schema. The description adds no parameter syntax or format meaning beyond what the schema provides; baseline 3 applies.

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: 'Get all planetary sign (rashi) changes for a given month,' then clarifies the semantics ('when each planet transitions from one zodiac sign to another') and enumerates the 9 planets covered. An agent can distinguish it from positional siblings, though no sibling is named explicitly.

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

Usage Guidelines3/5

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

Gives use cases ('transit prediction, monthly horoscope generation, muhurta planning') and one concrete operating hint (omit year/month to get the month in progress), but never states when to prefer this over the adjacent post_vedic_astrology_transit or post_vedic_astrology_planetary_positions_monthly tools.

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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