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Vedic Astrology and Kundli MCP Server by RoxyAPI

Monthly Planetary Aspects - Major and minor aspect events for a month

post_vedic_astrology_aspects_monthly
Read-only

Calculate all planetary aspect events (excluding Moon) for a given month. Detects 22 aspect types. 5 major (conjunction, opposition, trine, square, sextile) and 17 minor (vigintile, semi-sextile, undecile, semi-quintile, novile, semi-square, septile, quintile, binovile, centile, biseptile, tredecile, sesqui-square, bi-quintile, quincunx, triseptile, quadranovile). Returns exact date and time of closest approach using ternary search refinement. Uses degree-based aspect methodology on sidereal positions (Lahiri ayanamsa). Omit year and month to get the month in progress, so a published aspect calendar stays current without a redeploy. For Moon-specific aspects, use the /aspects/lunar endpoint. Essential for transit timing, muhurta selection, and monthly astrological forecasting. Monthly planetary aspects API, graha drishti calendar, mutual aspect ephemeris, minor aspects.

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 analysis (1900-2100). Defaults to the current year (UTC).
monthNoMonth number (1-12). 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
eventsYes
timezoneYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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)."
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "events": {
      +      "items": {
      +        "properties": {
      +          "aspect": {
      +            "type": "string"
      +          },
      +          "date": {
      +            "type": "string"
      +          },
      +          "datetime": {
      +            "type": "string"
      +          },
      +          "distance": {
      +            "type": "number"
      +          },
      +          "orb": {
      +            "type": "number"
      +          },
      +          "planet1": {
      +            "type": "string"
      +          },
      +          "planet1Localized": {
      +            "type": "string"
      +          },
      +          "planet1Longitude": {
      +            "type": "number"
      +          },
      +          "planet2": {
      +            "type": "string"
      +          },
      +          "planet2Localized": {
      +            "type": "string"
      +          },
      +          "planet2Longitude": {
      +            "type": "number"
      +          },
      +          "time": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "planet1",
      +          "planet2",
      +          "aspect",
      +          "date",
      +          "time",
      +          "datetime",
      +          "orb",
      +          "distance",
      +          "planet1Longitude",
      +          "planet2Longitude"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "month": {
      +      "type": "number"
      +    },
      +    "timezone": {
      +      "type": "number"
      +    },
      +    "year": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "year",
      +    "month",
      +    "timezone",
      +    "events"
      +  ],
      +  "type": "object"
      +}
  3. 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\"."
  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: +[
      +  {}
      +]
    • 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. 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)."New value: +"Month number (1-12). Defaults to the current month (UTC)."
    • changedInput schema / properties / year / description
      Previous value: -"Year for monthly analysis (1900-2100)."New value: +"Year for monthly analysis (1900-2100). Defaults to the current year (UTC)."
    • removedInput schema / required
      Removed value: -[
      -  "year",
      -  "month"
      -]
  7. 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."
  8. 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"
      +}
  9. 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"
      +  }
      +]
  10. 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 meaningful behavioral context beyond the annotations: it discloses the calculation method ('degree-based aspect methodology on sidereal positions (Lahiri ayanamsa)'), the refinement technique ('ternary search refinement'), and the exact output ('exact date and time of closest approach'). It also explains the default behavior when year/month are omitted. This goes beyond what annotations provide, though it doesn't describe pagination or response shape (output schema exists).

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?

The description is information-dense but well-organized: it leads with the core function, then lists aspect types, then methodology, then usage guidance, then the sibling reference. The final sentence is a keyword-stuffed list ('Monthly planetary aspects API, graha drishti calendar, mutual aspect ephemeris, minor aspects') that adds little value and reads like SEO filler. That slightly detracts from an otherwise efficient structure.

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?

For a read-only calculation tool with 0 required parameters, a complete output schema, and 100% schema coverage, the description covers the essential context: what it calculates, how it calculates, when to use it, and when not to. The only minor gap is that it doesn't describe the output structure, but the output schema exists and the description's mention of 'exact date and time of closest approach' gives a preview. This is nearly complete for the tool's complexity.

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 6 parameters thoroughly. The description adds some context about the coordinateSystem parameter by mentioning 'sidereal positions (Lahiri ayanamsa)' and the default month behavior, but it doesn't add significant meaning beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Calculate'), a precise resource ('all planetary aspect events excluding Moon for a given month'), and enumerates the exact aspect types detected (5 major, 17 minor). It also distinguishes itself from the sibling post_vedic_astrology_aspects_lunar by explicitly excluding the Moon and pointing to the lunar endpoint. This is a clear, specific purpose that an agent can act on without opening the schema.

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 gives explicit usage context: 'Essential for transit timing, muhurta selection, and monthly astrological forecasting.' It also provides a clear when-not-to-use rule: 'For Moon-specific aspects, use the /aspects/lunar endpoint.' The 'Omit year and month to get the month in progress' note gives practical guidance for keeping a published calendar current. This is strong 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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