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astroway-mcp

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Jaimini — Argala / Virodhargala scan

vedic_jaimini_argala_analysis
Read-onlyIdempotent

Analyze Argala and Virodhargala influences across all 12 houses in a Vedic birth chart. Identify net intervention and dominant-over metrics for each house.

Instructions

Full Argala (intervention) + Virodhargala (counter-intervention) scan across all 12 houses. Argala from 2/4/11 (primary), 5 (secondary), 8 (special); Virodhargala from 12/10/3 (primary), 9 (secondary), 6 (special). Net influence and dominant-over metric per house.

[Group: Vedic] [Cost: 20 credits (Tier 2)]

Example request body: {"date":"1990-05-15","time":"14:30:00","timezoneOffset":3,"latitude":50.45,"longitude":30.52}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
timeYes
timezoneOffsetNo
latitudeNo
longitudeNo
houseSystemNoP
nameNo
cityNo
zodiacTypeNo
ayanamsaIdNo
cosmogramNo
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds behavioral context by specifying the output metrics (net influence and dominant-over per house), which goes beyond 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loading the core function in the first sentence, followed by house details, output metrics, and an example. Every sentence adds value with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the main purpose and output metrics but fails to explain the input parameters, which is a significant gap given 11 parameters and 0% schema coverage. The example helps but does not fully compensate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the 11 parameters beyond an example request body. It fails to compensate for the lack of schema descriptions, leaving parameter meanings unclear.

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 explicitly states the tool performs a full Argala and Virodhargala scan across all 12 houses, listing specific houses for each type. This clearly distinguishes it from sibling Jaimini tools like vedic_jaimini_aspects or vedic_jaimini_padas.

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

Usage Guidelines4/5

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

The description provides clear context about the tool's function and house involvement, allowing an agent to infer it is for argala analysis. However, it does not explicitly state when to use this tool over alternatives or provide exclusion criteria.

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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