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JimFlannery

Space Weather Data MCP Server

by JimFlannery

get_space_weather_scales

Get NOAA space weather scales (G, S, R) and solar flare classes (A/B/C/M/X) to interpret severity and radio blackout levels.

Instructions

Return the NOAA space weather scales and solar flare classification system.

Call this tool to understand how to interpret space weather severity. It returns:

  • The three NOAA scales used for all space weather products: G (Geomagnetic storms, Kp-based, 1–5) S (Solar Radiation Storms, proton flux-based, 1–5) R (Radio Blackouts, X-ray flux-based, 1–5)

  • Solar flare X-ray classification (A/B/C/M/X) with flux thresholds and the mapping to R-scale radio blackout levels.

Returns: Dict with keys "noaa_scales" and "solar_flare_classes".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses the return format and content in detail, including the G/S/R scales and solar flare classes. It does not explicitly state read-only status or lack of side effects, but the nature of a lookup tool makes this clear enough.

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 well-structured: a clear opening sentence, a bulleted breakdown of scales, and a final returns line. Every sentence carries useful information, with no 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?

This is a zero-parameter reference lookup with an output schema. The description provides all necessary context, naming the returned dictionary keys and the substantive contents of the NOAA scales and solar flare classes, making it fully complete for an agent to decide and invoke.

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, so the baseline is 4. The description need not explain parameter meanings, and it compensates by describing the returned data structure in detail.

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 opens with a specific verb and resource: 'Return the NOAA space weather scales and solar flare classification system.' It clearly distinguishes this from sibling file/product tools by describing a reference lookup, and explains the exact content returned.

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 explicitly says 'Call this tool to understand how to interpret space weather severity,' giving clear context for when to use it. It does not mention alternatives or exclusions, but the sibling tools are unrelated, so no additional guidance is necessary.

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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