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socraticsurge

mcp-server-panchangam

get_muhurta

Returns auspicious and inauspicious time windows for a date and city as JSON. Use to check if a specific moment is favorable for starting activities.

Instructions

Returns auspicious and inauspicious time windows for a date and city as JSON. Lighter than get_panchangam — use for quick 'is this a good time?' queries. Includes all 1.9.0 timing fields: vishaghati, bhadra_mukha/bhadra_puchha, sankramana_avoidance, ghati_clock, in_panchaka_nakshatra, nakshatra_mukha, anandadi_yoga, is_khar_maasa, is_pitru_paksha, simha_stha_guru/shukra, guru_maudhya/shukra_maudhya, disha_shoola_direction, panchaka_rahita. Args: date=YYYY-MM-DD, city=city name (or pass latitude+longitude; timezone is derived if omitted), system=drik|surya_siddhanta|vakya (default: drik).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes
dateYes
systemNodrik
latitudeNo
timezoneNo
longitudeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the return format (JSON) and lists specific timing fields included. It also explains argument alternatives (city vs latitude+longitude) and default system. No contradictions.

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?

The description is concise yet comprehensive, front-loading the purpose and listing key details. Every sentence adds value, with no unnecessary words.

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?

Given the presence of an output schema, the description appropriately does not explain return values but lists important fields. It covers all parameters and usage nuances, making it complete for a tool with multiple optional parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description explains date format (YYYY-MM-DD), city usage, alternative latitude+longitude with derived timezone, and system options with defaults. This adds significant meaning beyond the schema.

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 states it returns auspicious and inauspicious time windows for a date and city as JSON. It distinguishes itself from get_panchangam by noting it is lighter and for quick queries, providing a clear specific purpose.

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?

The description advises using this tool for quick 'is this a good time?' queries and contrasts it with get_panchangam. It does not explicitly list when not to use, but the context is clear enough.

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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