Vedic Astrology and Kundli MCP Server by RoxyAPI

Monthly Lunar Aspects - Moon aspect events with all planets for a month

post_vedic_astrology_aspects_lunar

Read-only

Track all lunar aspect events for a given month including major and minor aspects. The Moon traverses approximately 13 degrees per day, forming 22 aspect types with each planet. 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 each Moon aspect event with ternary search refinement to the minute. Omit year and month to get the month in progress, so a published lunar calendar stays current without a redeploy. Essential for muhurta selection, daily panchang analysis, and chandra gochar predictions. Monthly lunar aspects API, Moon transit calendar, chandra drishti ephemeris, minor lunar aspects.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`lang`	No	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.	en
`year`	No	Year for monthly analysis (1900-2100). Defaults to the current year (UTC).
`month`	No	Month number (1-12). Defaults to the current month (UTC).
`compact`	No	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.
`timezone`	No	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).
`coordinateSystem`	No	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".	sidereal

Output Schema

TableJSON Schema

Name	Required	Description	Default
`year`	Yes
`month`	Yes
`events`	Yes
`timezone`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 23, 2026

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)."

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "events": {
+      "items": {
+        "properties": {
+          "aspect": {
+            "type": "string"
+          },
+          "date": {
+            "type": "string"
+          },
+          "datetime": {
+            "type": "string"
+          },
+          "distance": {
+            "type": "number"
+          },
+          "moonLongitude": {
+            "type": "number"
+          },
+          "orb": {
+            "type": "number"
+          },
+          "planet": {
+            "type": "string"
+          },
+          "planetLocalized": {
+            "type": "string"
+          },
+          "planetLongitude": {
+            "type": "number"
+          },
+          "time": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "planet",
+          "aspect",
+          "date",
+          "time",
+          "datetime",
+          "orb",
+          "distance",
+          "moonLongitude",
+          "planetLongitude"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "month": {
+      "type": "number"
+    },
+    "timezone": {
+      "type": "number"
+    },
+    "year": {
+      "type": "number"
+    }
+  },
+  "required": [
+    "year",
+    "month",
+    "timezone",
+    "events"
+  ],
+  "type": "object"
+}

Changed1 schema field changedSep 4, 2026

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\"."

Changed2 schema fields changedAug 25, 2026

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"
+]

Changed2 schema fields changedAug 17, 2026

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."

Changed4 schema fields changedAug 8, 2026

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"
-]

Changed1 schema field changedJul 22, 2026

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."

Changed1 schema field changedJul 22, 2026

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"
+}

Changed1 schema field changedJul 12, 2026

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"
+  }
+]

First observedJul 8, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds behavioral details: 'Returns exact date and time of each Moon aspect event with ternary search refinement to the minute' and explains the default behavior of omitting year/month for a current calendar. These go beyond the annotations and help the agent understand precision and default behavior, though it doesn't mention any limitations like pagination or rate limits.

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 front-loaded with the main purpose and then provides useful technical details (aspect types, precision, default behavior, use cases). It is somewhat long due to enumerating all 22 aspect types, but each sentence contributes meaningful information. The trailing keywords ('Monthly lunar aspects API...') are arguably redundant, but they don't detract significantly from clarity. Overall, it is appropriately sized for the tool's complexity.

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 the tool has an output schema (not shown but present), the description need not detail return values. It covers the core functionality, precision, default behavior, and use cases. It does not mention timezone handling, coordinate system, or response format, but these are all documented in the input schema. For a read-only tool with six optional parameters, the description is sufficiently complete for an agent to invoke it correctly.

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?

The input schema has 100% description coverage for all six parameters, so the baseline is 3. The description mentions the year/month default behavior ('Omit year and month to get the month in progress') which aligns with the schema's default values, but adds no new parameter-specific semantics. The detailed list of aspect types does not relate to parameter usage, so the description provides minimal value beyond the schema.

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 clearly states the tool's function: 'Track all lunar aspect events for a given month including major and minor aspects.' It specifies the resource (lunar aspects), scope (monthly), and enumerates the aspect types. It distinguishes itself from siblings by explicitly focusing on lunar aspects, and mentions it returns exact dates/times, making the purpose unmistakable.

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?

The description provides clear context on when to use it: 'Essential for muhurta selection, daily panchang analysis, and chandra gochar predictions.' It also implies that omitting year/month gives the current month, which is a usage nuance. However, it does not explicitly mention alternatives or when not to use it, such as pointing to post_vedic_astrology_aspects_monthly for non-lunar aspects, so it lacks explicit exclusions.

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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