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Vedic Astrology and Kundli MCP Server by RoxyAPI

Monthly Declination Parallels - Parallel and contraparallel events for a month

post_vedic_astrology_parallels_monthly
Read-only

Find all declination parallel and contraparallel events between the 7 visible planets for a given month. Parallels occur when two planets share the same celestial declination (equivalent to conjunction in strength). Contraparallels occur at opposite declinations (equivalent to opposition). Scanned daily at noon UTC. Omit year and month to get the month in progress, so a published parallel calendar stays current without a redeploy. Essential for advanced transit analysis and hidden aspect discovery. Monthly declination parallels API, planetary parallel ephemeris, contraparallel event calendar.

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
monthYes
eventsYes

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": {
      +          "date": {
      +            "type": "string"
      +          },
      +          "datetime": {
      +            "type": "string"
      +          },
      +          "dec1": {
      +            "type": "number"
      +          },
      +          "dec2": {
      +            "type": "number"
      +          },
      +          "orb": {
      +            "type": "number"
      +          },
      +          "planet1": {
      +            "type": "string"
      +          },
      +          "planet1Localized": {
      +            "type": "string"
      +          },
      +          "planet2": {
      +            "type": "string"
      +          },
      +          "planet2Localized": {
      +            "type": "string"
      +          },
      +          "time": {
      +            "type": "string"
      +          },
      +          "type": {
      +            "enum": [
      +              "parallel",
      +              "contraparallel"
      +            ],
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "planet1",
      +          "planet2",
      +          "type",
      +          "date",
      +          "time",
      +          "datetime",
      +          "orb",
      +          "dec1",
      +          "dec2"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "month": {
      +      "type": "number"
      +    },
      +    "year": {
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "year",
      +    "month",
      +    "events"
      +  ],
      +  "type": "object"
      +}
  3. 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"
      +]
  4. 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."
  5. 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 parallel analysis."New value: +"Month number (1-12) for parallel analysis. Defaults to the current month (UTC)."
    • changedInput schema / properties / year / description
      Previous value: -"Year for monthly parallel analysis (1900-2100)."New value: +"Year for monthly parallel analysis (1900-2100). Defaults to the current year (UTC)."
    • removedInput schema / required
      Removed value: -[
      -  "year",
      -  "month"
      -]
  6. 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."
  7. 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"
      +}
  8. 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"
      +  }
      +]
  9. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral details beyond that: scanning is 'daily at noon UTC,' and omitting year/month returns the current month so a published calendar stays up to date. This gives the agent insight into the tool's operational characteristics without contradicting 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?

The first few sentences are clear and front-loaded, but the description loses economy near the end with the redundant keyword phrase 'Monthly declination parallels API, planetary parallel ephemeris, contraparallel event calendar.' This adds little information and feels like padding, costing it a higher score.

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?

Given the output schema exists to describe return valuesmust and annotations cover safety, the description covers all essential operational aspects: what is computed, the planet set, the time granularity, the scanning cadence, the default month behavior, and the intended application domain. Nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds extra value by explaining the key default behavior: 'Omit year and month to get the month in progress.' This is a practical semantic tip not explicitly emphasized in the schema, raising the score above baseline.

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 opens with a specific verb and resource: 'Find all declination parallel and contraparallel events between the 7 visible planets for a given month.' It defines the key astronomical concepts (parallel as conjunction, contraparallel as opposition) and explicitly scopes to a month, clearly differentiating it from other aspect/parallel tools.

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?

The description provides implied usage context by stating it is 'Essential for advanced transit analysis and hidden aspect discovery,' but it does not mention when to use this tool versus alternatives like post_vedic_astrology_parallels or post_vedic_astrology_aspects_monthly. No exclusions or comparisons are given, so guidance is implicit rather than explicit.

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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