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VedicDost: Vedic Astrology, Kundli & AI Astrologer

Numerology (mulank, bhagyank, namank)

numerology
Read-onlyIdempotent

Indian numerology from VedicDost's software: mulank (root number from birth day), bhagyank (destiny number from full date) and namank (name number, Chaldean) if a name is given. Use for "my lucky number", "mulank bhagyank".

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "date": "<date>"
    },
    "name": "numerology"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateYesBirth date YYYY-MM-DD
nameNoName in English letters (optional)
languageNoUser language: hi, en, mr, gu, bn, ta, te or kn (default en). Text comes in Hindi for hi and English otherwise; links open the VedicDost page in this language. Reply to the user in their own language.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine behavior beyond that: namank is only computed 'if a name is given' and uses the Chaldean system. It still says nothing about response shape or failure cases (e.g. invalid date).

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?

Two compact sentences with the core computation front-loaded and the trigger phrases placed after. Every clause carries information; only the attribution to 'VedicDost's software' is arguably filler, though it does signal provenance.

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?

Three simple parameters, full schema coverage, and a clear read-only annotation set mean little more is needed. With no output schema, the description compensates by naming exactly the three numbers returned, and language/reply behavior is handled in the schema, so an agent has everything required to call it correctly.

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 baseline would be 3. The description goes further by mapping each input to a distinct derived output — birth day drives mulank, full date drives bhagyank, name drives namank — which explains why date is required and name optional. That is meaning beyond the schema's own field labels.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific domain and names the three exact values produced (mulank from birth day, bhagyank from full date, namank Chaldean from name), which is far more than a restated title. It does not explicitly distinguish itself from siblings such as get_kundli or shastra_basis, leaving the numerology-vs-astrology boundary implicit.

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 clause 'Use for "my lucky number", "mulank bhagyank"' gives concrete trigger phrasings, which is real usage context. However there are no exclusions or alternatives named — nothing tells the agent when a kundli or panchang tool would be the better choice — so guidance remains implied rather than explicit.

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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