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Sun & Moon Rise/Set Times

usno.astronomy.sun_moon
Read-onlyIdempotent

Get sunrise, sunset, moonrise, moonset, and transit times for any location and date. Includes civil, nautical, and astronomical twilight for planning photography, agriculture, and outdoor events.

Instructions

Get sunrise, sunset, moonrise, moonset, and transit times for any location and date. Includes civil/nautical/astronomical twilight. Used for photography golden hour, agriculture planning, outdoor events. Source: USNO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate in YYYY-MM-DD format (e.g. 2026-04-07)
latitudeYesLatitude in decimal degrees (e.g. 40.7128 for New York)
longitudeYesLongitude in decimal degrees (e.g. -74.0060 for New York)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description's added behavioral context is minimal (only 'Source: USNO'). No contradiction, but no extra value beyond annotations.

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?

Three concise sentences: main outputs, twilight types, and use cases. Every sentence adds value without redundancy or filler.

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?

The output schema exists, so return values are documented. The description covers inputs, outputs, and usage context. For a simple query tool with full annotation coverage, this is complete.

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?

The input schema has 100% coverage with descriptions for all three parameters (date, latitude, longitude). The description does not add any parameter-specific details beyond the schema, so a baseline score of 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?

The description explicitly states the tool retrieves sunrise, sunset, moonrise, moonset, transit times, and twilight types. It distinguishes from siblings like moon_phases and seasons by specifying solar and lunar rise/set data plus twilight.

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 provides clear use cases: photography golden hour, agriculture planning, outdoor events. It lacks explicit when-not-to-use or alternative tool references, but the context is sufficient for an agent to select this tool.

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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