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nasa_power_data

Access daily solar and meteorological parameters from NASA POWER to inform renewable energy and agricultural planning.

Instructions

Retrieve daily solar and meteorological parameters from NASA POWER (Prediction of Worldwide Energy Resources) for a location and date range. Provides data such as downward solar radiation (ALLSKY_SFC_SW_DWN), temperature at 2m (T2M), and wind speed at 2m (WS2M). Useful for renewable energy assessment and agricultural planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude of the target location (-90 to 90)
lngYesLongitude of the target location (-180 to 180)
end_dateYesEnd date in YYYYMMDD format (e.g. '20240131'). Max range ~1 year per request.
parametersNoComma-separated NASA POWER parameter codes. Common: ALLSKY_SFC_SW_DWN (solar irradiance kW-hr/m2/day), T2M (temperature C), WS2M (wind speed m/s), RH2M (relative humidity %), PRECTOTCORR (precipitation mm/day). Default: 'ALLSKY_SFC_SW_DWN,T2M,WS2M'ALLSKY_SFC_SW_DWN,T2M,WS2M
start_dateYesStart date in YYYYMMDD format (e.g. '20240101')
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states that it retrieves data without disclosing rate limits, authentication requirements, or the structure of the response. The schema includes a note on max date range, but the description itself adds no behavioral details.

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 two sentences that efficiently convey the purpose and key parameters. It is well-structured with the main action first, followed by examples and use cases. No extraneous information.

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

Completeness3/5

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

The description is adequate for a simple data retrieval tool, but it lacks details about the output format or what users can expect to receive. With no output schema, some guidance on the response structure would improve completeness.

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?

The description adds significant value beyond the schema by explaining common parameter codes and their meanings (e.g., ALLSKY_SFC_SW_DWN for solar irradiance). It also mentions the default parameters. However, the schema already covers all parameter descriptions, so the baseline is high.

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 the tool retrieves daily solar and meteorological parameters from NASA POWER for a location and date range. It lists specific parameters like ALLSKY_SFC_SW_DWN, T2M, and WS2M, which distinguishes it from other sibling tools that may focus on different data sources or types.

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

Usage Guidelines3/5

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

The description mentions it is useful for renewable energy assessment and agricultural planning, providing context for when to use it. However, it does not explicitly state when not to use this tool or compare it to alternatives like weather_current or weather_forecast, which could be confused with 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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