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edestory

StarMeet MCP Server

by edestory

get_panchang

Calculate Vedic Panchang for any date and location. Get Tithi, Nakshatra, Yoga, Karana, Rahu Kaal, and auspicious timings to select muhurta.

Instructions

Get the Vedic Panchang (Hindu almanac) for any date and location. Returns Tithi (lunar day), Nakshatra (Moon's star), Yoga, Karana, Vara (weekday planet), Rahu Kaal, Abhijit Muhurta, and sunrise/sunset times. Essential for muhurta (auspicious timing) selection. Powered by star-meet.com (https://star-meet.com/panchang).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude (e.g. 28.6139 for Delhi)
lonNoLongitude (e.g. 77.209 for Delhi)
cityNoCity name as shorthand (delhi, mumbai, bangalore, kolkata, varanasi, chennai, hyderabad, pune, jaipur, ahmedabad, moscow, london, newyork). Overrides lat/lon.
dateNoDate in YYYY-MM-DD format. Omit for today.
langNoLanguage for descriptions. Default: enen
Behavior3/5

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

No annotations provided, so description carries burden. Describes what it returns and mentions external service (star-meet.com), but does not disclose side effects, rate limits, or authentication needs. Adequate for a read-only query.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences: first states purpose and outputs, second adds use case and attribution. No unnecessary words.

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?

Given 5 optional parameters, no output schema, and no annotations, description covers purpose, outputs, and use case. Lacks return structure details but lists outputs adequately.

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 clear parameter descriptions. Description adds overall context but does not significantly extend parameter meaning beyond schema. Baseline 3 is appropriate.

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?

Clearly states what the tool does: 'Get the Vedic Panchang (Hindu almanac) for any date and location.' Lists specific outputs (Tithi, Nakshatra, Yoga, etc.) and distinguishes from sibling tools like calculate_kundali and get_nakshatra.

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?

Explicitly states usage context: 'Essential for muhurta (auspicious timing) selection.' Does not explicitly mention when not to use, but sibling tool names provide differentiation.

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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