Western Astrology MCP Server by RoxyAPI

Get lunar calendar - Moon phases for entire month

get_astrology_moon_phase_calendar_year_month

Read-only

Get complete lunar calendar showing moon phase and illumination for every day of a specific month. Perfect for creating moon phase calendars, lunar planners, and astrology event schedules.

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`	Yes	Calendar year (1900-2100).
`month`	Yes	Calendar month (1-12). 1 = January, 12 = December.
`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.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`year`	Yes
`month`	Yes
`calendar`	Yes
`monthName`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 20, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "calendar": {
+      "items": {
+        "properties": {
+          "date": {
+            "type": "string"
+          },
+          "illumination": {
+            "type": "number"
+          },
+          "phase": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "date",
+          "phase",
+          "illumination"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "month": {
+      "type": "number"
+    },
+    "monthName": {
+      "type": "string"
+    },
+    "year": {
+      "type": "number"
+    }
+  },
+  "required": [
+    "year",
+    "month",
+    "monthName",
+    "calendar"
+  ],
+  "type": "object"
+}

Changed2 schema fields changedSep 19, 2026
- changedInput schema / properties / month / type
```
Previous value: -"number"New value: +"integer"
```
- changedInput schema / properties / year / type
```
Previous value: -"number"New value: +"integer"
```

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: +[
+  {
+    "month": 3,
+    "year": 2026
+  }
+]

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."

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"
+}

First observedJul 8, 2026

TDQS

A4/5.0

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 the useful detail that every day's phase and illumination are included, but it does not disclose additional operational constraints such as rate limits, timezone handling, or response behavior. This is adequate but not exceptional.

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 two sentences with the core specification front-loaded. The second sentence provides legitimate use cases, though 'Perfect for' is slightly promotional. Overall it is concise and well structured without unnecessary detail.

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 and annotations already cover read-only behavior, the description plus schema fully define invocation: required year/month, optional lang and compact, and month-long phase/illumination output. No critical gap prevents an agent from selecting or calling this tool 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?

Schema description coverage is 100%: every parameter (lang, year, month, compact) has a clear description, defaults, and valid ranges. The description itself adds no parameter-level meaning beyond what the schema already provides, so the baseline 3 applies.

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 uses a specific verb and resource: 'Get complete lunar calendar showing moon phase and illumination for every day of a specific month.' It clearly distinguishes this from the sibling current/upcoming moon phase tools by emphasizing month-long, day-by-day coverage.

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 communicates clear context: this is for full-month lunar calendar data, useful for planners and astrology schedules. It stops short of explicitly naming alternatives like get_astrology_moon_phase_current or get_astrology_moon_phase_upcoming, but the 'every day of a specific month' phrasing makes the usage context clear.

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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