Skip to main content
Glama
asterwise

Asterwise

Official

Karmic Lessons

asterwise_get_karmic_lessons
Read-onlyIdempotent

Scan a full name to find missing numerology digits 1–9, revealing karmic lessons and areas needing development in this lifetime.

Instructions

Identifies karmic lessons by scanning all letter values in the full name and finding which digits 1–9 are absent. Each missing digit represents an area where experience is thin and development is needed in this lifetime.

WORKFLOW: BEFORE: None — standalone. AFTER: asterwise_get_numerology_profile — see karmic lessons alongside all core numbers.

INPUT CONTRACT: name — Full legal name as used at birth. Example: 'Arjun Mehta' — scan all 9 letters for their Pythagorean digit values. Letters present: A=1, R=9, J=1, U=3, N=5, M=4, E=5, H=8, T=2, A=1 Digits present: {1,2,3,4,5,8,9} → Missing: {6,7}

DO NOT CONFUSE WITH: asterwise_get_balance_number — uses only first letters (initials), not all letters. asterwise_get_expression_number — reduces all letters to a single number; does not scan for absent digits.

Full output and error contract: https://docs.asterwise.com/mcp/tools/get-karmic-lessons/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPerson's full name as commonly written; letters are converted to numerology values.
response_formatNoOutput format: 'markdown' (default) for a readable report, or 'json' for the raw structured payload.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds transparency about error handling by linking to a full output and error contract, and it explains the computation process (scanning letters, converting to values). No contradictions with annotations.

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 longer than average but well-structured with clear sections (WORKFLOW, INPUT CONTRACT, DO NOT CONFUSE WITH). The example inside INPUT CONTRACT repeats some information from the opening sentence, but the overall organization aids readability and avoids being unnecessarily verbose.

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?

Given that an output schema is reported as present (context signal), the description does not need to explain return values. It does point to a full output and error contract URL for additional details, and the workflow section places the tool in a broader context. This is sufficient for an agent to invoke 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 descriptions cover both parameters with 100% coverage, so the baseline is 3. The main description goes further by providing a concrete example ('Arjun Mehta') that illustrates how the name is processed, which adds practical semantic clarity beyond the schema text. The response_format enum is also clearly documented.

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 clearly states the tool's specific function: identifies karmic lessons by scanning all letter values in a full name and finding missing digits 1–9. It explicitly distinguishes from sibling tools by noting that balance number uses only first initials and expression number reduces to a single digit, preventing confusion.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use context via the workflow section (standalone, before numerology profile) and a 'DO NOT CONFUSE WITH' section that names specific alternatives and explains the exact differences (initials vs all letters, reduced vs absent digits). This gives clear guidance on selecting this tool over related options.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/asterwise/asterwise-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server