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Numerology MCP Server by RoxyAPI

Detect Karmic Debt numbers - Karmic debt 13, 14, 16, 19 API

post_numerology_karmic_debt
Read-only

Detect Karmic Debt numbers 13, 14, 16 and 19 across the five core numbers that carry them: Life Path, Expression, Soul Urge, Personality and Birth Day. Send a birth date, a full birth name, or both, and only the positions those inputs reach are read; each debt is listed once with its challenge and resolution guidance in the language set by lang. Built for spiritual growth apps, karmic readings, coaching tools and AI agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dayNoBirth day (checks Birth Day on its own, and Life Path with year and month)
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
yearNoBirth year (checks Life Path)
monthNoBirth month (checks Life Path)
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.
fullNameNoFull birth name (checks Expression, Soul Urge, Personality). A name in any script is converted to Latin letters before it is counted, Cyrillic and Greek as the passport spelling and accents folded to the base letter, and the calculation lists the letters counted. For a script that does not write its vowels, send the Latin spelling the person uses.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
meaningsYes
debtNumbersYes
hasKarmicDebtYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / fullName / description
      Previous value: -"Full birth name (checks Expression, Soul Urge, Personality)"New value: +"Full birth name (checks Expression, Soul Urge, Personality). A name in any script is converted to Latin letters before it is counted, Cyrillic and Greek as the passport spelling and accents folded to the base letter, and the calculation lists the letters counted. For a script that does not write its vowels, send the Latin spelling the person uses."
  2. Changed1 schema field changed
    • changedInput schema / properties / day / description
      Previous value: -"Birth day (checks Life Path)"New value: +"Birth day (checks Birth Day on its own, and Life Path with year and month)"
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "debtNumbers": {
      +      "items": {
      +        "type": "number"
      +      },
      +      "type": "array"
      +    },
      +    "hasKarmicDebt": {
      +      "type": "boolean"
      +    },
      +    "meanings": {
      +      "items": {
      +        "properties": {
      +          "challenge": {
      +            "type": "string"
      +          },
      +          "description": {
      +            "type": "string"
      +          },
      +          "number": {
      +            "type": "number"
      +          },
      +          "resolution": {
      +            "type": "string"
      +          }
      +        },
      +        "required": [
      +          "number",
      +          "description",
      +          "challenge",
      +          "resolution"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "message": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "hasKarmicDebt",
      +    "debtNumbers",
      +    "meanings",
      +    "message"
      +  ],
      +  "type": "object"
      +}
  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. 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. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds meaningful behavior beyond that, namely that only the positions reachable from the supplied inputs are evaluated, that each debt is reported once, and that each carries challenge and resolution guidance. It does not discuss rate limits or auth, but for a safe read-only endpoint this is solid added context.

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 sentences, front-loaded with the detection scope and followed by input behavior and return content. The closing 'Built for spiritual growth apps, karmic readings, coaching tools and AI agents' is audience marketing that does not help an agent invoke the tool, which keeps it out of 5 territory.

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 and annotations cover the safety profile, so the description does not need to document return shapes; it still usefully explains the partial-input evaluation rule and per-debt guidance content. Nothing essential is missing, though it omits any note on how results behave when no debt is present.

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% and the parameter docs are unusually thorough (each field already states which numerological positions it triggers, plus the lang fallback-to-English rule), so the description's note that inputs may be combined adds little that the schema does not already say. Baseline 3 is appropriate when the schema carries the semantics.

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 (Detect) and a precise resource (Karmic Debt numbers 13, 14, 16, 19) scoped to five named core numbers. This distinguishes it cleanly from siblings such as post_numerology_karmic_lessons and the single-position tools without requiring the schema to be opened.

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?

Gives clear invocation context: 'Send a birth date, a full birth name, or both, and only the positions those inputs reach are read,' which tells the agent both what to supply and that partial inputs are legal (consistent with zero required params). It never names an alternative tool or states when not to use this one, so it falls short of a 5.

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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