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Dashas: Shoola Pranadasha

astroway_vedic_dashas_shoola_prana
Read-onlyIdempotent

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

[Group: Vedic] [Endpoint: POST /v1/vedic/dashas/shoola/prana] [Cost: 20 credits (Tier 2)]

Input 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

NameRequiredDescriptionDefault
seedNo
lagnaNo
levelNo
systemNo
periodsNo
ayanamsaNo
currentMahaNo
currentAntarNo
currentSookshmaNo
currentPratyantarNo

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, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful operational context not in the annotations: the HTTP endpoint and the cost (20 credits, Tier 2). It does not explain what a 'cascade' returns or how the five levels nest, which is the main behavioral unknown.

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?

Extremely tight and front-loaded: purpose first, then group, endpoint and cost in bracketed metadata that an agent can parse quickly. It errs toward under-specification rather than verbosity, but nothing present is wasted.

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?

An output schema exists, so return values need not be described, and annotations cover safety. Still, for a 3-parameter paid dasha endpoint inside a family of five near-identical siblings, the description leaves the agent without usage guidance or level-selection logic, which is a real gap.

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%, with the body/natal-chart object, fields and precision all documented in the schema itself (including the timezone, lat/lon and houseSystem caveats). The description contributes nothing further about parameters, so the baseline 3 for schema-carried semantics is appropriate.

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?

Names the specific dasha system and level ('Shoola Pranadasha') and adds the scope qualifier '5-level cascade (finest grain)', which helps position it against the shoola_maha/antar/pratyantar/sookshma siblings. However, it is a bare noun phrase with no verb, so the agent must infer that it computes/returns periods rather than, say, lists definitions.

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?

No when-to-use guidance, no prerequisites (e.g. that birth data with date/time/coordinates is required), and no explicit routing against the four other Shoola levels. 'Finest grain' implies a timing-resolution intent but never states the condition that should select this tool over shoola_sookshma or shoola_maha.

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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