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

No annotations are supplied, so the description carries the full burden. It does add real value by disclosing that data is genuine ('No mock radar'), that an empty result means empty, and that a failed fetch surfaces as 'CURE' - but the meaning of 'CURE' is left unexplained and permissions, rate limits, and read-only status are unstated.

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 purpose is front-loaded and the text is a reasonable length, but it is dense with opaque jargon ('gaiaftcl.radar.*', 'CURE') that a reader cannot decode, so not every sentence cleanly earns its place.

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?

Given no annotations and no output schema, the description steps in to describe what each lane returns, which covers the return-value burden the absent output schema leaves. It is nearly complete, missing only permission/rate-limit context and a clear failure-code definition.

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?

Schema coverage is 100%, so the schema already documents all three parameters, including that wallet_hash and c4_invariant_scf are receipt-only and unread by the lanes. The description reinforces lane meaning but adds no format or syntax detail beyond the schema, so the baseline 3 applies.

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?

States specific verb and resource (live NOAA weather) and splits it into two well-defined lanes with named data products (SIGMET polygons, GOES-R X-ray flux, Kp, OVATION aurora). An agent can tell what it returns, but the description never distinguishes it from the closely-related sibling weather.convective_containment, leaving a routing ambiguity.

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 lane semantics imply when to pick 'weather' vs 'space', so usage is inferable but never stated as a rule. There is no explicit when-to-use/when-not guidance and no reference to the overlapping sibling tool, so the agent must guess between them.

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