Skip to main content
Glama

AstroWay Astrology API (full catalogue)

Dashas: Kalachakra Pranadasha

astroway_vedic_dashas_kalachakra_prana
Read-onlyIdempotent

Kalachakra Pranadasha: 5-level cascade (finest grain, minutes-scale at full depth).

[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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed world, so the safety profile is covered. The description adds the 20-credit Tier 2 cost and the output-depth trait, which are genuinely useful and not present in the annotations, but says nothing about response size, latency, or validity constraints at minute-scale depth.

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?

Two tight sentences plus group and cost metadata, front-loaded with the technique name and its distinguishing depth trait. Nothing is wasted, though the brevity leaves routing gaps that a slightly longer treatment would have closed.

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 schema and output schema are rich, so return values need no explanation, and annotations cover the safety profile. However, for a tool sitting in a five-member Kalachakra family, the description does not tell the agent how this level relates to the other four, leaving the primary selection question unanswered.

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 documents every field (birth data, ayanamsa, timezone, target date/time, fields, precision) in detail, so the schema carries the burden. The description adds no parameter-level meaning beyond that, which is the baseline 3 for a fully documented schema.

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

Purpose4/5

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

The description names the specific technique (Kalachakra Pranadasha) and characterizes its output depth as a '5-level cascade' at the 'finest grain, minutes-scale'. That meaningfully separates it from the four sibling levels (maha, antar, pratyantar, sookshma) which are not described as finest-grain, though the sibling relationship is never made explicit.

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 guidance on when to choose this tool over the shallower Kalachakra levels or over other dasha systems (vimshottari, ashtottari, etc.). The agent must infer selection from the phrase 'finest grain' alone, with no stated prerequisites or alternatives.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources