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

No annotations are present, so the description carries the full burden of disclosure. It does identify the NOAA source and the data categories, but it does not explain how the tool behaves, what the optional query parameter does, whether it returns current conditions or forecasts, or any limitations. This is thin behavioral coverage 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.

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

The description is a single compact, front-loaded phrase with no filler. It communicates the core subject and data source efficiently, which is appropriate for a simple lookup tool.

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

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

For a simple optional-parameter tool, the description covers the primary subject area and the NOAA source, and the output schema exists so return structure need not be described. However, the unexplained 'q' parameter and lack of any comparison to weather-related siblings leave a noticeable gap in what an agent needs to use it confidently.

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

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

The schema has one optional parameter 'q' with 0% description coverage, and the description never mentions it. Since schema coverage is low, the description needed to compensate by explaining what 'q' controls or that the tool works without parameters, but it does not. The parameter is effectively undocumented.

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

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

The description clearly identifies the tool's subject and content: NOAA planetary Kp index, geomagnetic storms, and aurora. It lacks an explicit verb like 'retrieves' or 'provides,' but the resource scope is specific enough to separate it from sibling tools such as weather, marineweather, and airquality.

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

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

The description gives no explicit guidance on when to use this tool versus related tools like weather, marineweather, or spacepeople. The subject matter strongly implies usage for space weather data, but no when-to-use conditions or exclusions are stated.

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