Skip to main content
Glama

Jagannatha Hora — Vedic Astrology (Jyotish, Kundli, Horoscope, Panchang)

Muhūrta (Auspicious Timing)

get_muhurta
Read-onlyIdempotent

Find auspicious dates for an event across a date range (the system ranks the dates by classical rules). Scores each day by vara, nakshatra, tithi, paksha and the native's Tara Bala / Chandra Bala / Sade Sati, per the event's rule table, returning candidates sorted by a deterministic score (with breakdown + weights), the Abhijit / clean best-window and the Rahu/Gulika/Yamaganda avoid-windows. A failed mandatory rule caps the score. event_type is one of: griha_pravesha_own, griha_pravesha_rented, travel_prayana, vehicle_purchase, business_shop_opening, property_purchase_registration. Data only — the caller writes the recommendation. (Use get_gochara_range instead to get raw per-day details and decide yourself.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesBirth date in YYYY-MM-DD format, e.g. 1985-06-15
timeYesBirth time in 24h HH:MM:SS format, e.g. 10:30:00
placeNoOptional birth-place name (cosmetic only).
genderNoOptional. A few classical yogas are defined by gender -- Mahabhagya's rule is gender x day/night x odd/even signs. Supply it when known; when omitted those yogas are left out of the result rather than computed against an assumed gender.
to_dateYesScan end YYYY-MM-DD (max 90 days)
latitudeYesBirth-place latitude in decimal degrees, e.g. 13.0827
timezoneYesTimezone offset from UTC in hours, e.g. 5.5 for IST
from_dateYesScan start YYYY-MM-DD
longitudeYesBirth-place longitude in decimal degrees, e.g. 80.2707
event_typeYesEvent to find a date for
event_placeNoEvent place name (optional; defaults to birth place)
event_latitudeNoEvent latitude (optional)
event_timezoneNoEvent timezone offset from UTC (optional)
event_elevationNoEvent elevation in metres (optional)
event_longitudeNoEvent longitude (optional)
day_part_resolution_minutesNoTime-of-day granularity (5-60)
respect_inauspicious_windowsNoReport Rahu/Gulika/Yamaganda avoid windows

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses meaningful behavior: deterministic scoring, breakdown and weights, cap on failed mandatory rules, best-window and avoid-windows, and the 'data only — caller writes recommendation' boundary. This gives the agent an accurate model of what the tool returns and how it behaves.

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?

The description is dense but front-loaded with the core purpose and then packed with useful behavioral details. The event_type enum list is redundant with the schema, but the rest of the content earns its place for a complex astrological tool.

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

Completeness4/5

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

With no output schema, the description does a good job listing the outputs: ranked candidates with breakdown and weights, Abhijit/clean best-window, and Rahu/Gulika/Yamaganda avoid-windows. It could be more explicit about response shape or edge cases, but it is sufficient for correct invocation.

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 coverage is 100%, so the input schema already documents all 17 parameters. The description restates the event_type enum but adds no new parameter-level meaning beyond what the schema provides, so the baseline 3 applies.

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 uses a specific verb and resource: 'Find auspicious dates for an event across a date range' and explains the system ranks dates by classical rules. It distinguishes the tool from get_gochara_range by noting this tool returns ranked candidates while the sibling gives raw per-day details.

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

Usage Guidelines5/5

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

Explicitly provides an alternative: 'Use get_gochara_range instead to get raw per-day details and decide yourself.' It also clarifies the tool is data-only and the caller writes the recommendation, preventing misuse of the result as a final recommendation.

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.

TDQS

A3.8/5.0
Disambiguation3/5

Many tools form near-identical families—bala strengths (get_shad_bala, get_bhava_bala, get_other_bala, get_vaiseshikamsa_bala, get_vimsopaka_bala), arudhas (get_arudha_padas, get_graha_arudhas, get_chandra_arudhas, get_surya_arudhas), and transit snapshots (get_gochara, get_gochara_range, get_saturn_transit, get_muhurta). The detailed descriptions usually clarify, but an agent without deep Jyotish knowledge could easily select the wrong one, especially for vaiseshikamsa vs vimsopaka bala.

Naming Consistency4/5

The vast majority of tools use a clean get_<topic> snake_case pattern, such as get_dasha, get_muhurta, and get_yogas. The two outliers—generate_horoscope and list_divisional_charts—are still readable verb-noun names, so the inconsistency is minor.

Tool Count2/5

32 tools is above the 25+ threshold for too many. Many tools are variations on the same chart computations and could be consolidated into parameterized tools, such as a single bala strength tool with a bala_type argument. The high count will make tool selection harder for agents despite each tool covering a legitimate niche.

Completeness5/5

The surface is remarkably complete for Vedic astrology: chart generation, divisional charts, nakshatras, all major strength systems, dasha timelines, transits, muhurta, yogas, doshas, marriage matching, and specialized points are all present. There are no obvious dead ends for the core workflow of generating and analyzing a horoscope.

Resources