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hoon1983
by hoon1983

get_space_weather_events

Retrieve recent space-weather events from NASA DONKI, filtered by type (CME, solar flare, geomagnetic storm, etc.) and date range. Each event includes a type-specific summary and links to detailed reports.

Instructions

Catalogued space-weather events from NASA DONKI (newest first).

event_type: CME (coronal mass ejection), GST (geomagnetic storm), FLR (solar flare), SEP (solar energetic particle), IPS (interplanetary shock), HSS (high-speed stream). Each event carries a type-specific summary (e.g. GST max Kp, FLR class, CME speed) and a DONKI link for full detail. This is the structured "what space-weather events happened recently, and how are they linked?" view that complements the real-time SWPC feeds. Public domain (NASA/CCMC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_typeYes
daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states 'newest first', 'type-specific summary', and 'DONKI link', implying read-only behavior, but does not explicitly confirm read-only, rate limits, or pagination.

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

Conciseness3/5

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

The description is somewhat lengthy but front-loaded with the main purpose. It uses backticks for event types, adding structure. Could be more concise by removing redundant phrasing.

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?

Given an output schema exists, the description adequately covers return content (type-specific summary, DONKI link). It mentions the catalog nature and source. Missing details on pagination or limits, but acceptable for a list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description adds value by explaining the event_type enum with meanings and noting type-specific summaries. However, 'days' parameter (default 7) is not explained, leaving ambiguity about its 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 clearly states it catalogs space-weather events from NASA DONKI, listed newest first, and lists event types. It differentiates itself as a structured catalog complementing real-time feeds, though it does not explicitly name sibling tools.

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 mentions it complements real-time SWPC feeds, giving a hint about when to use it, but lacks explicit when-not-to-use guidance or direct comparisons to siblings like get_alerts or get_solar_flares.

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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