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AstroWay Astrology API (full catalogue)

Dashas: Yogini Pranadasha

astroway_vedic_dashas_yogini_prana
Read-onlyIdempotent

Yogini Pranadasha: 5-level cascade (finest grain).

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesBirth data for a single natal chart. Required: date (YYYY-MM-DD), time (HH:mm:ss), latitude and longitude in decimal degrees. The short forms lat, lon, lng and tz are rejected with 400 INVALID_FIELD; pass the full names. timezoneOffset is hours from UTC and defaults to 0, meaning UTC; send timezone instead (an IANA name such as Europe/Kyiv, or auto) and the offset for that date is worked out, summer time included. city is a display label only: nothing here geocodes it, so it never stands in for coordinates. houseSystem is a single Swiss Ephemeris letter, P by default; a name such as "Placidus" is refused, and the case matters because I and i are two different Sunshine systems.
fieldsNoCompact mode: comma-separated dotted paths to keep, relative to `data`, e.g. "planets.name,planets.longitude,houses.cusp". Omit for the whole response.
precisionNoCompact mode: round fractional numbers to this many decimals. Longitudes carry 14 by default; 2 is finer than any chart is drawn.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNo
systemNo
initialNo
periodsNo
ayanamsaNo
nakshatraNo
currentMahaNo
currentAntarNo
currentSookshmaNo
currentPratyantarNo
moonSiderealLongitudeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
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 safety is covered. The description adds the credit cost (20 credits, Tier 2), which is genuine behavioral context an agent needs for budgeting, but says nothing about output size, time span, or latency for this deepest cascade level.

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?

One line plus two bracketed tags — front-loaded and free of filler. It is efficient, though the terse phrasing leans toward under-specification rather than optimal conciseness.

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

Completeness2/5

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

An output schema exists so return values need not be explained, and annotations cover safety. But for a deeply specialized Vedic tool in a family of five sibling dasha levels, the description omits what the prana grain represents, its time scale, and how it relates to the other Yogini levels — the agent cannot confidently choose or interpret it.

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 description coverage is 100%, and the nested body schema is exceptionally detailed (timezone handling, houseSystem letters, rejected short forms). The description adds no parameter meaning of its own, so the baseline 3 is appropriate when the schema does all the work.

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

Purpose3/5

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

The description names the specific dasha system (Yogini) and its level (Prana), and 'finest grain' hints at how it differs from the sibling _maha/_antar/_pratyantar/_sookshma variants. However, it supplies no verb (compute/return) and '5-level cascade' is cryptic terminology an agent cannot decode without outside knowledge of the Yogini taxonomy.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of the four sibling Yogini levels or when the finest prana grain is preferable to sookshma or pratyantar. The agent gets only a level label and cost, nothing about selection.

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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