Airport Weather & Delays (METAR, TAF, FAA)

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

No annotations exist, so the description carries the full burden, and it discloses the critical behavioral fact that calls are paid per call via x402 (USDC on Base). It also pairs with the schema's note that omitting payment_signature returns payment requirements, revealing the two-step payment handshake. It does not cover rate limits, data freshness/latency, or failure modes, which keeps it from a 5.

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 resource is front-loaded in the first clause, followed by the data payload, the usage trigger, and finally the payment model. It is information-dense with little waste, though it is a single long run-on sentence that could be broken into scannable segments.

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, the description must explain return values, and it does so thoroughly (METAR fields including flight category, TAF, ground stops, delays, closures, airport metadata). Combined with fully documented parameters and the disclosed payment flow, an agent has everything needed to call and interpret this tool correctly.

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 description coverage is 100%, so both parameters (airport, payment_signature) are already fully documented in the schema, including the ICAO/IATA formats and the x402 header semantics. The description describes the returned data rather than adding new meaning to the parameters, 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?

The description names the resource precisely (airport conditions by ICAO/IATA code) and enumerates exactly what is returned: decoded METAR, TAF forecast, FAA ground stops, delay programmes, closures, and OurAirports name/location/runway data. There is no ambiguity about what the tool does or its geographic reach ('worldwide', US-specific for the FAA feeds).

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 gives an explicit use context: 'Use when an agent needs current conditions, the forecast and any delay programme for an airport before a flight, pickup or logistics decision.' That is clear when-to-use guidance. It stops short of exclusions or alternatives, though with no sibling tools there is nothing to route away from, so 4 is appropriate.

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