SpaceNexus space data

Space weather now

space_weather_now

Read-onlyIdempotent

Current geomagnetic Kp and NOAA G-scale, solar wind speed, density and Bz, the NOAA 3-day flare outlook and flares in the last 14 days, with a plain-language read for satellite operators. NOAA SWPC and NASA DONKI data.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "space_weather_now"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 30, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is fully covered. The description adds behavioral context the annotations cannot: the upstream data sources (NOAA SWPC, NASA DONKI) and the time windows of the data returned (3-day outlook, 14-day flare history), though it does not state refresh cadence or latency for 'current' values.

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?

A single dense sentence with the substantive content list front-loaded, followed by a short source attribution. Every listed field earns its place because it defines the return payload, which no output schema provides.

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 no output schema, the description carries the full burden of describing the return value, and it does so field by field, including the derived 'plain-language read' and the origin of each dataset. An agent can act on this without further documentation.

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 takes zero parameters, so there is nothing for the description to disambiguate; per the rubric this is the baseline 4. The description correctly avoids inventing parameter-like options (no filtering or date arguments).

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 names the exact resource (current space weather) and enumerates precisely which readings are returned: Kp/G-scale, solar wind speed, density, Bz, flare outlook and 14-day flare history. No sibling tool covers space weather, so the purpose is unambiguous and easily distinguished from the launch/funding/jobs tools listed.

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?

Usage is implied through the stated audience ('a plain-language read for satellite operators'), which signals the operational use case, but the description gives no explicit trigger conditions, no 'use this when you need X' clause, and no mention of alternatives or when this tool is not appropriate. Adequate but with a clear gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All SpaceNexus space data tools Inspect

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