Skip to main content
Glama

AstralRead

Vedic (Jyotish) chart

vedic_chart
Read-onlyIdempotent

Calculates a Vedic (Jyotish) birth chart with the Swiss Ephemeris: sidereal zodiac with the Lahiri ayanamsa, whole-sign houses from the Lagna (Ascendant), the rashi, degree and house of the nine grahas (Sun to Saturn, Rahu as the mean node and Ketu opposite), and the nakshatra, pada and nakshatra lord of the Lagna and every graha, with the traditional symbol and deity of the Moon's nakshatra. Use it for questions like 'what is my nakshatra', 'my Vedic chart' or 'my rashi / Moon sign in Jyotish'. Pure calculation: no doshas, yogas or predictions. Birth data is used only for this calculation and is not stored or logged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage of the result: en or ru.en
placeNoBirth city, e.g. 'Chicago, Illinois, USA'. Used to look up coordinates and the time zone. Not needed if latitude/longitude are given.
latitudeNoBirth latitude in degrees (north +).
timezoneNoIANA time zone of the birth place, e.g. America/Chicago. Looked up from the place/coordinates when omitted.
longitudeNoBirth longitude in degrees (east +).
birth_dateYesBirth date, YYYY-MM-DD (years 1800–2100).
birth_timeNoLocal birth time, 24-hour HH:MM. Omit if unknown: then houses, Ascendant and MC are not computed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already establish read-only, idempotent, non-destructive and closed-world, so the description is free to add real value and does: exact ephemeris convention, mean node for Rahu, which chart elements are produced, and the data-handling guarantee that birth data is neither stored nor logged. That privacy statement is behavior an agent cannot get from any structured field.

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?

Front-loaded with the verb and resource, and the two trailing sentences carry distinct jobs (usage triggers, scope limit, data handling). The first sentence is a long enumerated run-on, but each item in the enumeration is informative output content, so little is wasted.

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

Completeness5/5

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

There is no output schema, yet the description enumerates the returned chart contents (rashi, degree, house per graha, nakshatra/pada/lord, Moon's nakshatra symbol and deity), which is exactly what an agent needs to know before calling. Input edge cases like unknown birth time are covered by the schema.

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%, so all seven parameters (including the birth_time-omission consequence and place/coordinates fallback) are already documented in the schema. The description adds no extra parameter guidance beyond 'birth data', which is the correct baseline-3 outcome when the schema does the work.

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?

Specific verb ('Calculates') plus a precisely bounded resource ('Vedic (Jyotish) birth chart') with the computational basis named (Swiss Ephemeris, Lahiri ayanamsa, whole-sign houses). The scope line 'Pure calculation: no doshas, yogas or predictions' separates it from the sibling dasha/prediction tools and from natal_chart's likely tropical output.

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?

Gives concrete user-question triggers ('what is my nakshatra', 'my Vedic chart', 'my rashi / Moon sign in Jyotish') and a clear exclusion ('no doshas, yogas or predictions'). It does not name the sibling that handles those excluded cases (e.g., vimshottari_dasha), so the routing is implied rather than explicit.

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