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MAASAI-Labs

Orbital Watch

Official
by MAASAI-Labs

Space weather now + impacts

space_weather_now
Read-only

Retrieve current NOAA space weather conditions, including G/R/S scales, Kp, flares, 3-day outlook, and plain-English impacts on GPS, HF radio, LEO satellites, and aurora.

Instructions

Current NOAA space weather: G/R/S scales, planetary Kp, latest and strongest solar flares, 3-day outlook, with plain-English impact on GPS, HF radio, Starlink/LEO satellites and aurora.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and external-data scope are covered. The description usefully adds the data payload scope and a plain-English impact framing (GPS, HF radio, Starlink/LEO, aurora). It does not disclose update cadence, caching/freshness, or whether NOAA may be unreachable, which matter for a 'now' tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence that identifies the source and enumerates contents with no filler. The enumeration is dense but each item is genuinely informative about what comes back, so it earns its length.

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

Completeness4/5

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

With no parameters, no output schema, and annotations covering the safety profile, the description's main remaining job is to say what the response contains – which it does thoroughly. It is essentially complete; cadence and format are the only untold pieces.

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 per the rubric the baseline is 4. The schema is empty and nothing in the description could or should add parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (current NOAA space weather) and enumerates the exact content: G/R/S scales, planetary Kp, flares, 3-day outlook. That is far more than a restatement of the title. It stops short of explicitly differentiating itself from the sibling space_weather_alerts, which is the one tool an agent could easily confuse it with.

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 word "Current" plus "3-day outlook" implies this is the snapshot/status tool rather than an alert-subscription tool, so usage is inferable. However, there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. 'for active alerts, use space_weather_alerts'), which is exactly the ambiguity a sibling named space_weather_alerts creates.

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