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Numerology MCP Server by RoxyAPI

by com.roxyapi
OverviewDiscussionsAdmin

Calculate Soul Urge number - Heart Desire number calculator API

post_numerology_soul_urge
Read-only

Calculate the Soul Urge number, also called the Heart Desire number, from the vowels of a full birth name with Pythagorean numerology. A, E, I, O and U are the vowels and Y and W count as consonants; master numbers 11, 22 and 33 are kept and a karmic debt of 13, 14, 16 or 19 is flagged with its meaning. The response lists every vowel name by name and returns a full interpretation of inner motivation, relationships and spiritual path in the language set by lang. Built for self-discovery apps, dating profiles, coaching tools and AI agents.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "fullName": "John William Smith"
    },
    "name": "post_numerology_soul_urge"
  }
}

Input 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
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.
fullNameYesFull birth name. Its vowels A, E, I, O and U give the Soul Urge, so a name with none is refused. 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

NameRequiredDescriptionDefault
typeYes
numberYes
meaningYes
calculationYes
hasKarmicDebtYes
karmicDebtNumberNo
karmicDebtMeaningNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / fullName / description
      Previous value: -"Full birth name (vowels will be extracted)"New value: +"Full birth name. Its vowels A, E, I, O and U give the Soul Urge, so a name with none is refused. 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
    • 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"
+}
  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: +[
+  {
+    "fullName": "John William Smith"
+  }
+]
    • 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. 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."
  6. 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"
+}
  7. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well past the readOnlyHint/destructiveHint annotations: it discloses vowel treatment (A/E/I/O/U vowels, Y and W as consonants), preservation of master numbers 11/22/33, karmic-debt flagging for 13/14/16/19, per-vowel output, and a full interpretation return. For a stateless calculator this is rich, decision-relevant behavioral 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?

Front-loaded with the core calculation and rules, and the operative details come early. The closing sentence enumerating target audiences is mild marketing filler that does not help an agent decide or invoke, keeping it short of a 5.

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?

With an output schema present, the description needn't detail return values, and it still sketches them (per-vowel listing, interpretation). It covers the input contract and edge case (a name with no vowels is refused, mirrored in the schema) but omits language fallback behavior and the compact toggle, which the schema does carry.

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%, so fullName, lang and compact are already documented in the schema. The description restates the vowel rule for fullName and mentions lang only in passing ('the language set by lang') without adding new semantics, and never touches compact — baseline 3 is appropriate.

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 — calculating the Soul Urge / Heart Desire number — and pins down the exact input basis: the vowels of a full birth name under Pythagorean numerology. That vowel basis implicitly distinguishes it from consonant-based (personality) and full-name (expression) siblings without needing to name them.

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 an audience framing (self-discovery apps, dating profiles, coaching tools, AI agents) but never states when to pick this tool over the many sibling numerology endpoints, nor any exclusion. Usage is inferable from the scope of the calculation but not explicitly guided.

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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