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Get Space Weather Conditions

noaa_spaceweather_get_conditions
Read-onlyIdempotent

Current space-weather snapshot: NOAA R/S/G storm scales (today + 3-day forecast), latest Kp index with its G-scale equivalent and aurora-visibility latitude, and a plain-language status summary. The quickest way to answer "is anything happening right now?" — use before deciding whether to drill into solar wind (noaa_spaceweather_get_solar_wind), aurora (noaa_spaceweather_get_aurora_forecast), or alert details (noaa_spaceweather_get_alerts).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
todayNoCurrent observed NOAA storm scales for today.
summaryNoPlain-language status summary suitable for display, e.g. "Quiet conditions" or "G2 moderate geomagnetic storm in progress."
forecastNo3-day NOAA scale forecast (next 1–3 days).
currentKpNoLatest observed planetary K-index (0–9).
observedAtNoUTC date and time of the NOAA scales data period this snapshot reflects, e.g. "2026-06-04 15:00:00".
currentGScaleNoNOAA G-scale equivalent for current Kp (0–5).
auroraLatitudeNoAurora visibility guidance for current conditions, e.g. "Aurora possible to ~55° geomagnetic latitude".

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds value by specifying the data contents (storm scales, Kp, plain-language summary) and describing it as a 'snapshot,' which implies current-state retrieval rather than a long operation. No contradictions; the added content is meaningful context beyond what annotations provide.

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 compact and front-loaded: the first sentence states the core content, and the second provides routing guidance. Every sentence earns its place—no filler. It's an efficient, well-structured definition that a model can parse quickly.

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?

For a zero-parameter read-only tool with an output schema, the description fully covers what the tool does, what it returns, and when to use it. The output schema handles return details, and annotations cover safety. Nothing an agent needs to call this tool correctly is missing.

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 tool has zero parameters, and the schema shows no properties. The description doesn't need to explain parameter semantics because there are none. Per the guidelines, 0 params gives a baseline of 4, which is appropriate here. The description clearly explains what the tool returns, so the agent knows what to expect.

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 a specific verb ('Get') and resource ('space weather conditions') and enumerates the exact content: NOAA R/S/G storm scales, Kp index with G-scale equivalent and aurora-visibility latitude, and a plain-language status summary. It explicitly differentiates from siblings by framing itself as the quickest snapshot, which distinguishes it from the more specialized solar wind, aurora, and alert tools.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance: 'The quickest way to answer "is anything happening right now?" — use before deciding whether to drill into solar wind, aurora, or alert details.' It names the alternatives and the decision point, leaving no ambiguity about when this tool is the right choice.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct aspect of space weather: alerts, aurora forecast, conditions snapshot, Kp index, solar activity, and solar wind. No two tools serve the same purpose, and the descriptions clearly delineate when to use each (e.g., conditions for a quick overview versus Kp for time series detail).

Naming Consistency5/5

All tools follow the exact same pattern: `noaa_spaceweather_get_<resource>`. This is perfectly consistent and predictable, making it easy for an agent to infer tool purpose from the name alone.

Tool Count5/5

With 6 tools, the server covers the major space-weather data categories without being overwhelming. Each tool provides substantial, non-redundant information, and the scope aligns well with what an agent might need for operational space-weather queries.

Completeness5/5

The tool set spans alerts/warnings, current conditions, KP index, solar activity, solar wind, and aurora forecasts – covering the full lifecycle of space-weather monitoring. No obvious missing operations exist; the description even cross-references tools to guide exploration (e.g., conditions leads to solar wind, aurora, or alerts).