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

No annotations exist, so the description carries the full behavioral burden. It usefully discloses cost ($0.02 via x402), the HTTP endpoint, and what composes the risk scores, but says nothing about response format, freshness, rate limits, or the granularity/count of the 6-hour scores returned.

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?

Front-loaded with the key fact (DTW risk over 48 hours) and the metadata bracket is clearly set off. There is mild redundancy between the first and second sentences (both restate '48 hours'), which keeps it from a 5.

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?

There is no output schema and no annotations, so the description should ideally characterize what comes back. It names the driving weather factors but not the returned structure, count of 6-hour buckets, or value scale, leaving a gap for an agent interpreting results.

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 the baseline is 4. The description correctly implies there is nothing to configure since the station and horizon are fixed, though it does not explicitly state that no arguments are accepted.

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 a specific resource (DTW weather delay risk), a specific horizon (next 48 hours), and the inputs that drive the risk (wind gusts, convective potential, winter/sustained precipitation, cloud cover). It explicitly positions itself against the sibling weather_aviation-delay-risk by noting it is the same shape 'bound to DTW', so an agent can distinguish geographic specializations without opening schemas.

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 reference to 'the generic delay-risk endpoint, bound to DTW' implies when to pick this over weather_aviation-delay-risk, but there is no explicit when-to-use, when-not, or prerequisite statement. Usage is inferable rather than stated.

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