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Asterwise

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Nakshatra Prediction

asterwise_get_nakshatra_prediction
Read-only

Get a personalised daily Vedic astrology prediction using Tarabala and Chandrabala. Provide birth data to receive today's forecast based on lunar compatibility.

Instructions

Returns a personalised daily prediction using Tarabala and Chandrabala.

WORKFLOW: BEFORE: None — birth data computes everything needed. AFTER: asterwise_get_panchanga — for full daily panchanga context.

INPUT CONTRACT: birth — BirthData (date, time, lat, lon, timezone). target_date (optional): YYYY-MM-DD. Defaults to today.

DO NOT CONFUSE WITH: asterwise_get_nakshatra_details — static nakshatra reference, not personalised prediction. asterwise_get_panchanga — daily panchanga (tithi, yoga, karana), not Tarabala scoring. asterwise_get_biorhythm — Western biorhythm cycles, not classical Vedic prediction.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
birthYesBirth data for a single person.
target_dateNoDate in YYYY-MM-DD format. Defaults to today when omitted.
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 it read-only and non-destructive; the description adds that it computes from birth data and points to a full output/error contract. No contradictions with the 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 well structured with WORKFLOW, INPUT CONTRACT, DO NOT CONFUSE, and a link to the full contract. Purpose is front-loaded; some repetition with the schema exists but it is not excessive.

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?

The description covers purpose, workflow, key input defaults, sibling distinctions, and directs users to the full output/error contract. Since an output schema exists, detailed return-value explanation is not required.

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 coverage is 100% and every parameter already has descriptions, defaults, formats, and enums. The prose input contract mostly restates the schema and omits response_format and ayanamsa, so it adds little beyond what the schema provides.

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?

Description opens with 'Returns a personalised daily prediction using Tarabala and Chandrabala', giving a specific verb, resource, and method. It also explicitly names sibling tools not to confuse with, making its scope unmistakable.

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-not-to-use guidance via 'DO NOT CONFUSE WITH' for nakshatra_details, panchanga, and biorhythm, and adds a workflow note that panchanga should follow for full daily context. This clearly distinguishes it from alternatives.

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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