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aviation_weather

Get real-time aviation weather for any ICAO airport including METAR, TAF, SIGMET alerts, and a 24-hour forecast. Batch query up to 10 airports per call.

Instructions

Real-time aviation weather for any ICAO airport. Returns decoded METAR, TAF, SIGMET alerts, and a normalized 24-hour forecast. Batch up to 10 airports per call. Sources: NOAA Aviation Weather Center and Open-Meteo. Costs $0.10 USDC per call. Settled on Base mainnet from your wallet. Use this when the user asks about: airport weather, flight planning, METAR/TAF, drone pre-flight, aviation conditions. ICAO codes: KLAS (Las Vegas), KDFW (Dallas), KJFK (New York), EGLL (Heathrow), RJTT (Tokyo).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
icaoYesICAO airport code(s)
Behavior4/5

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

With no annotations, the description carries full burden. It discloses real-time nature, decoded formats, batch limit, sources, cost, and settlement details. Lacks explicit read-only claim but is inferable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

Concise yet comprehensive: includes purpose, outputs, batch, sources, cost, usage guidance, and examples with no superfluous text.

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

Completeness4/5

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

Adequate for a single-parameter query tool with high schema coverage. Could mention error handling or rate limits, but not critical.

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

Parameters3/5

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

Schema coverage is 100%, so the parameter is well-documented structurally. Description adds context (examples, batch hint) but not essential beyond schema.

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

Purpose5/5

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

The description clearly states it provides real-time aviation weather for any ICAO airport, listing specific outputs (METAR, TAF, SIGMET, forecast) and batch capability. It distinguishes well from unrelated sibling tools.

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

Usage Guidelines4/5

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

Explicitly lists use cases (airport weather, flight planning, etc.) and provides example ICAO codes. While it doesn't mention when not to use, the sibling tools are unrelated, so guidance is clear.

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

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