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Solar Wind — Real-time (NOAA SWPC RTSW)

space.swpc.solar_wind
Read-onlyIdempotent

Retrieve real-time solar wind speed, proton density, and temperature from NOAA SWPC space weather monitors. Returns the latest reading plus up to 60 recent 1-minute observations for analysis.

Instructions

Real-time solar wind speed (km/s), proton density (per cm³), and temperature (K) from the ACE/DSCOVR L1 monitors. Returns the latest reading plus the last N 1-minute observations. Source: NOAA SWPC RTSW (NODD public domain)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pointsNoNumber of recent 1-minute solar-wind readings to return alongside the latest reading (default 20, max 60). Each reading includes proton speed (km/s), density (per cm³), temperature (K), and quality score.

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.
Behavior5/5

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

Annotations indicate readOnlyHint, destructiveHint, idempotentHint, and openWorldHint, which the description aligns with by stating 'real-time' and 'public domain'. No contradictions, and adds source clarity.

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 key information, no unnecessary words. Efficiently conveys purpose and behavior.

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?

Output schema is present, annotations are comprehensive, and description covers all necessary aspects: source, data fields, and constraints. No gaps.

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 schema covers 100% of parameters with description. The tool description adds context about default and max for 'points', which is not in schema. Schema has min/max but no default; description provides it.

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 provides real-time solar wind speed, proton density, and temperature from ACE/DSCOVR monitors. It specifies it returns the latest reading plus last N observations, distinguishing it from sibling tools like aurora or k-index.

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 does not explicitly state when to use this tool vs alternatives. It implies usage for solar wind data but lacks explicit context on when not to use or comparisons with siblings.

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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