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AgentNASA — NASA Space Intelligence

get_space_weather

Get space weather events from NASA DONKI. Includes solar flares, coronal mass ejections (CME), and geomagnetic storms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to look back (1-30, default: 7)
typeNoEvent type: solar_flare, cme, geomagnetic_storm, or all (default: all)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden, yet it discloses nothing about return format, pagination, rate limits, or auth requirements. The list of event categories hints at response content, but that is minimal disclosure for an unannotated tool.

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?

Two short sentences, no filler, with the core purpose front-loaded and the coverage list following. Every sentence earns its place.

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

Completeness3/5

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

For a simple two-parameter read tool with fully documented schema and no output schema, this is close to adequate, but it omits the return shape and any operational caveats an agent might need before calling a third-party NASA endpoint.

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 description coverage is 100%, so both parameters (days and type, including ranges and defaults) are fully documented in the schema. The description only echoes the event categories that the type parameter already enumerates, adding no further semantic value.

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?

States a specific verb and resource (get space weather events) and names the data source (NASA DONKI), plus enumerates the event categories returned. It does not explicitly differentiate itself from the siblings get_apod or get_near_earth_objects, but those names are self-evidently different resources.

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

Usage Guidelines2/5

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

The description says what the tool returns but never states when to use it versus alternatives, nor any prerequisites (e.g., whether a NASA API key is required). Usage is only inferable from the purpose statement itself.

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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