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Genexxis paid agent tools (x402)

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: $0.008 USDC per call, paid with x402 on Base.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "airport": "<airport>"
    },
    "name": "airports_status"
  }
}

Input Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose the priced/paywalled nature up front: $0.008 USDC per call via x402 on Base, which is critical for an agent deciding whether to invoke. It also defines the output taxonomy (none/minor/moderate/severe) and what the delay data includes (reason and minutes), though it omits data freshness, unsupported-airport behavior, and error/cost-failure handling.

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?

One dense sentence, front-loaded with the purpose and output inventory, with cost appended at the end. Every clause carries information; there is no filler or restatement of the tool name.

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?

No output schema and no annotations, so the description must enumerate returns — it does so thoroughly (FAA program types, METAR, 12-hour TAF, disruption scale) and includes pricing. It stops short of noting data latency, coverage limits (US-only FAA programs), or whether a charge applies to failed lookups.

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% and the single parameter description already states IATA/FAA (JFK) or ICAO (KJFK) formats, more precisely than the description's vague 'one airport'. The description adds no format or validation detail beyond the schema, so baseline 3 applies.

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?

States a specific verb ('disruption check') and resource ('one airport'), then enumerates exactly what is returned: FAA programs, decoded METAR, TAF summary, and an overall disruption level. The composite 'status' scope is distinguishable from the narrower airports_delays and airports_weather siblings even though they aren't named.

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?

'For one airport' implies single-airport lookup rather than bulk scanning, but there is no explicit guidance on when to pick this over airports_delays or airports_weather, both of which clearly overlap. Usage must be inferred from the field list.

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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