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Genexxis agent data APIs

airports_status

Disruption check for one airport: active FAA programs (ground stop, ground delay program, arrival/departure delays, closures) with reason and delay minutes, decoded current METAR, 12-hour TAF summary and an overall disruption level none/minor/moderate/severe. Price: $0.003 USDC per call, paid with x402 on Base.

Input Schema

NameRequiredDescriptionDefault
airportYesUS airport IATA/FAA code (JFK) or ICAO code (KJFK)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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 does disclose the most agent-critical trait: this is a paid call ($0.003 USDC, x402 on Base), which affects whether an agent should invoke it at all. It also discloses the exact return shape including the disruption-level scale. Gaps: no mention of what happens on invalid/non-US codes, error behavior, or rate limits.

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

Conciseness4/5

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

One dense sentence with purpose first, enumerations in the middle, and the price note last — front-loaded and waste-free. Slightly long, but every clause (programs, weather, disruption level, price) carries information an agent needs.

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

Completeness5/5

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

There is no output schema, so the description must describe returns — and it does, listing the exact data sources, the delay reason/minutes detail, and the four-level disruption scale. Combined with the explicit payment model, an agent knows both what it pays and what it gets. Nothing material is missing for a one-parameter read tool.

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

Parameters4/5

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

Only one parameter at 100% schema coverage, so the schema already explains that 'airport' accepts IATA (JFK) or ICAO (KJFK) with examples. The description reinforces the single-airport scope and the FAA framing (which explains the US-only constraint). No syntax is added beyond the schema, but none is needed.

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

Purpose4/5

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

States a specific verb+resource ('Disruption check for one airport') and enumerates exactly what it returns: FAA ground stops/GDPs, delays, closures, decoded METAR, 12h TAF, and a none/minor/moderate/severe level. This is clearly the composite view of the siblings airports_delays and airports_weather, but the description never names those siblings, so differentiation is inferential rather than explicit.

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

Usage Guidelines3/5

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

Usage is only implied: the bundled FAA + METAR + TAF content suggests this is the 'one-call overview' versus the narrower siblings, but the description never says 'use this instead of airports_delays/airports_weather when you want a combined view.' No exclusions, no statement of when a granular sibling would be better.

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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