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Numerology MCP Server by RoxyAPI

Calculate Birth Day number - Birthday numerology API

post_numerology_birth_day
Read-only

Calculate the Birth Day number from the day of the month a person was born, 1 to 31, with Pythagorean numerology. The 11th, 22nd and 29th keep the master numbers 11 and 22, other two-digit days reduce to one digit, and the 13th, 14th, 16th and 19th are flagged as karmic debt with their meaning. The response returns the calculation and a full interpretation of the special talents the day brings in the language set by lang. Built for birthday features, talent and career discovery tools, and AI agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dayYesDay of birth (1-31)
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
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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
numberYes
meaningYes
calculationYes
hasKarmicDebtYes
karmicDebtNumberNo
karmicDebtMeaningNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "calculation": {
      +      "type": "string"
      +    },
      +    "hasKarmicDebt": {
      +      "type": "boolean"
      +    },
      +    "karmicDebtMeaning": {
      +      "properties": {
      +        "challenge": {
      +          "type": "string"
      +        },
      +        "description": {
      +          "type": "string"
      +        },
      +        "resolution": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "description",
      +        "challenge",
      +        "resolution"
      +      ],
      +      "type": "object"
      +    },
      +    "karmicDebtNumber": {
      +      "type": "number"
      +    },
      +    "meaning": {
      +      "properties": {
      +        "career": {
      +          "type": "string"
      +        },
      +        "challenges": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "description": {
      +          "type": "string"
      +        },
      +        "keywords": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "relationships": {
      +          "type": "string"
      +        },
      +        "spirituality": {
      +          "type": "string"
      +        },
      +        "strengths": {
      +          "items": {
      +            "type": "string"
      +          },
      +          "type": "array"
      +        },
      +        "title": {
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "title",
      +        "keywords",
      +        "description",
      +        "strengths",
      +        "challenges",
      +        "career",
      +        "relationships",
      +        "spirituality"
      +      ],
      +      "type": "object"
      +    },
      +    "number": {
      +      "type": "number"
      +    },
      +    "type": {
      +      "enum": [
      +        "single",
      +        "master"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "number",
      +    "calculation",
      +    "type",
      +    "hasKarmicDebt",
      +    "meaning"
      +  ],
      +  "type": "object"
      +}
  2. 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"
      +]
  3. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "day": 23
      +  }
      +]
    • 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."
  4. 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."
  5. 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"
      +}
  6. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive), and the description adds real behavioral detail: the master-number preservation for 11/22/29, the one-digit reduction rule, and the karmic-debt flagging for 13/14/16/19. It also discloses that the response carries a full interpretation. It omits any rate-limit or auth context, so it is strong but not exhaustive.

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?

Three front-loaded sentences that lead with the calculation and its reduction rules, which is the most decision-relevant content. The trailing 'Built for birthday features, talent and career discovery tools, and AI agents' is audience filler rather than routing guidance.

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?

An output schema exists, so return values need not be fully re-explained, and params plus annotations are well covered. The remaining gap is that the definition does not tell the agent how this calculation relates to sibling tools such as karmic_debt or life_path.

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, but the description adds framing for 'day' as the birth day of month (1-31) and ties 'lang' to the language of the returned interpretation, complementing the schema's own notes. 'compact' is left entirely to its schema description.

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?

States a specific verb and resource ('Calculate the Birth Day number') with precise scope: the day of month 1-31 under Pythagorean numerology. The Birth Day number is clearly distinct from sibling calculations like life_path, soul_urge or karmic_debt, so an agent can identify the correct tool without opening a schema.

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 gives audience context ('Built for birthday features, talent and career discovery tools') but never states when to choose this over the many sibling numerology tools, nor any exclusion or prerequisite. Usage is only implied by naming the specific calculation.

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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