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socraticsurge

mcp-server-panchangam

get_daily_horas

Retrieve 24 planetary horas (daytime and nighttime) for any date and city, with sunrise/sunset-based division and weekday lord ruling the first hora. Supports multiple calculation systems.

Instructions

Returns 24 planetary hours (horas) for a date and city as JSON. The 12 daytime horas start at sunrise and the 12 nighttime horas start at sunset. The first hora is ruled by the weekday lord. 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 provided, so description must cover behavior. It discloses return format (JSON), scheduling rules, and parameter options. However, it omits edge cases or error handling, but for a read-only data tool it is adequate.

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 sentences, front-loaded with purpose, then details. No wasted words. Every sentence provides essential information.

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?

With an output schema available, the description need not explain return values. It sufficiently covers core logic, parameter behavior, and system options.

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 description compensates by explaining date format, city vs lat/lon usage, timezone derivation, and system enum values. It adds meaning beyond the raw schema for most parameters.

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 clearly states it returns 24 planetary hours for a date and city as JSON, which is a specific verb+resource. It distinguishes itself from sibling tools (e.g., get_panchangam, find_muhurta) by focusing on horas.

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?

Provides clear context on quando to use: daytime vs nighttime horas, first hora rule, and parameter specifics. Does not explicitly list when not to use, but sibling tools are distinct 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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