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weather_aviation_dfw

DFW weather delay risk for the next 48 hours. Weather-driven delay risk for Dallas/Fort Worth (DFW) over the next 48 hours: 6-hour risk scores from forecast wind gusts, convective potential, winter and sustained precipitation, and heavy cloud cover at the field. Same shape as the generic delay-risk endpoint, bound to DFW. [HTTP: GET /v1/aviation/delay-risk/DFW · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.dfw]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the forecast horizon, 6-hour granularity, the driving inputs (wind gusts, convective potential, winter/sustained precipitation, cloud cover), plus transport and cost ($0.02 via x402, GET path, docs link). It does not state the risk score's scale/units, thresholds, update cadence, or auth requirements beyond payment.

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?

Purpose and horizon are front-loaded, and the driver list is compact. The bracketed HTTP/price/docs metadata is operational noise in a tool description but is short and clearly delimited, so it costs little.

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

Completeness3/5

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, and the description defers the return shape to 'the generic delay-risk endpoint' without describing it, nor does it give risk-score units or interpretation. For a no-param endpoint it is nearly sufficient, but an agent cannot know what the response actually looks like.

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?

The tool takes zero parameters, so there are no parameter semantics to document; the baseline for a parameterless tool is 4. Nothing in the description misrepresents inputs.

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 resource (DFW aviation weather delay risk) with a concrete scope (next 48 hours), and explicitly notes it is the DFW-bound variant of the generic delay-risk endpoint, which cleanly separates it from siblings like weather_aviation_atl or weather_aviation-delay-risk.

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?

The line 'Same shape as the generic delay-risk endpoint, bound to DFW' tells the agent this is the DFW-specific alternative to the generic endpoint, giving clear selection context. It does not state explicit when-not conditions or compare against the per-city aviation siblings beyond that.

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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