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

With no annotations, the description carries the full load and does well: it discloses the 48-hour horizon, 6-hour risk-score granularity, and the underlying drivers (wind gusts, convective potential, winter/sustained precipitation, cloud cover). It also surfaces operational metadata (HTTP GET, $0.02 via x402, docs URL). It does not describe auth requirements or failure behavior beyond pricing.

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?

Purpose is front-loaded and the second sentence enriches the first with the risk factors and the sibling relationship. There is mild redundancy between the two opening sentences ('delay risk ... next 48 hours' stated twice), but the metadata bracket is compact and earns its space.

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?

With no output schema and no annotations, the description compensates by describing what the response contains (6-hour risk scores derived from specific weather factors) and by pointing to docs. It is sufficient for an agent to call the tool correctly, though it does not spell out the exact response fields.

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 tool takes zero parameters, so there is nothing to document; baseline 4 applies. The description correctly implies a no-argument, fixed-airport call.

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 states a specific verb and resource ('Weather-driven delay risk for Fort Lauderdale-Hollywood (FLL) over the next 48 hours') and names the FLL binding explicitly. It also names the generic sibling endpoint ('Same shape as the generic delay-risk endpoint, bound to FLL'), so an agent can distinguish this from weather_aviation-delay-risk and the 20+ other airport variants without opening a schema.

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?

It clearly contextualizes this as the FLL-bound instance of the generic delay-risk endpoint, which is exactly the routing signal an agent needs among the many weather_aviation_* siblings. However, it stops short of an explicit when-to-use/when-not statement or prerequisites, leaving that to inference.

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