Skip to main content
Glama
asterwise

Asterwise

Official

Yogini Dasha

asterwise_get_yogini_dasha
Read-onlyIdempotent

Compute the eight-Yogini, 36-year Dasha timeline from birth details. Get two-level period trees with exact DD/MM/YYYY boundaries to time life events by Yogini lords.

Instructions

Computes the eight-Yogini, 36-year Yogini Dasha cycle with two-level period trees and DD/MM/YYYY boundaries from birth data.

WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart — establishes birth context for interpreting Yogini lords. AFTER: asterwise_get_dasha — optional Vimshottari comparison for the same native.

INPUT CONTRACT: Tree lives at data.periods.root[] — agents must not expect a top-level data.periods array. Calendar strings in periods use DD/MM/YYYY. BirthData follows the global contract.

DO NOT CONFUSE WITH: asterwise_get_dasha — Vimshottari planet periods with data.periods[] and optional levels 1–5, not Yogini names. asterwise_get_ashtottari_dasha — 108-year system with data.periods.root[] but planet-based rows, not Yoginis.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
birthYesBirth data for a single person.
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

A4.3/5.0
Behavior4/5

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

Annotations already mark the call read-only, idempotent, and non-destructive, so the description only needs to clarify what the computation returns. It does so by noting the period-tree location (data.periods.root[]), output date format, and a link to the full output/error contract, with no contradicting side effects.

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 organized into focused sections (main computation, workflow, input contract, and do-not-confuse) and all sentences carry useful information. It is slightly longer than necessary but remains scannable and front-loaded with the core purpose.

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?

It covers the key output shape (two-level tree, data.periods.root[], DD/MM/YYYY strings) and provides a link to the full contract, which is sufficient when combined with the detailed input schema and presence of an output schema. It does not need to enumerate every return field because the full contract is referenced.

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?

The schema itself provides complete descriptions for the birth object, coordinates, date/time, ayanamsa, timezone, and response_format, so the description adds little parameter-level guidance. The 'BirthData follows the global contract' note is generic but not misleading; output-related notes do not improve parameter understanding.

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 opening sentence clearly states that this tool computes the eight-Yogini, 36-year Yogini Dasha cycle and describes the two-level period-tree output and DD/MM/YYYY boundary format. It also explicitly distinguishes itself from the Vimshottari and Ashtottari dasha siblings, making the tool's purpose unambiguous.

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 gives concrete workflow guidance ('BEFORE: recommended asterwise_get_natal_chart', 'AFTER: optional asterwise_get_dasha') and explicitly warns against confusing this tool with asterwise_get_dasha (Vimshottari) and asterwise_get_ashtottari_dasha (108-year system). This tells an agent when to use this tool and which sibling to choose otherwise.

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