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weather_aviation_ord

ORD weather delay risk for the next 48 hours. Weather-driven delay risk for Chicago O'Hare (ORD) 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 ORD. [HTTP: GET /v1/aviation/delay-risk/ORD · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.ord]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose useful behavior: the risk score is derived from wind gusts, convective potential, winter/sustained precipitation, and cloud cover, at 6-hour granularity over 48 hours, plus the HTTP method, path, and $0.02 x402 payment model. It omits freshness/caching behavior and rate limits, which matter for a weather-derived risk feed.

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 is front-loaded and the sentences earn their place, but there is mild redundancy — 'next 48 hours' and 'ORD' each appear twice across the first two sentences. The bracketed metadata line efficiently carries pricing and docs.

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?

With no input parameters, no output schema, and no annotations, the description does the necessary work of explaining the risk-score composition, time granularity, and the fact that the response shape matches the generic delay-risk endpoint. Only freshness/update cadence is left unspecified.

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 schema has zero parameters, so the baseline of 4 applies. The description instead describes the return shape (6-hour risk scores from named forecast inputs), which is a reasonable substitute for parameter discussion.

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 (weather-driven delay risk), a precise scope (Chicago O'Hare / ORD, next 48 hours), and explicitly distinguishes itself from the generic sibling by saying it is 'the generic delay-risk endpoint, bound to ORD'. An agent can route between weather_aviation_ord and the other airport-specific or generic delay-risk tools without opening a schema.

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 48-hour / 6-hour scope and the pointer to the generic delay-risk endpoint give clear context for when this tool applies. It stops short of naming exclusions or alternatives (e.g. when to prefer weather_forecast_chicago or the severe-weather alert tools instead), so it is clear but not fully routed.

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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