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weather_aviation_ewr

EWR weather delay risk for the next 48 hours. Weather-driven delay risk for Newark Liberty (EWR) 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 EWR. [HTTP: GET /v1/aviation/delay-risk/EWR · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.ewr]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden and does reasonably well: it names the scoring inputs (wind gusts, convective potential, winter/sustained precipitation, cloud cover), the 6-hour granularity, the 48-hour window, and the access cost/mechanism (x402, $0.02). It also points to the generic endpoint for output shape. It does not state freshness/caching behavior, which keeps it from a 5.

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?

The metadata trailer (HTTP route, price, docs link) is dense and useful, and the scoring inputs are front-loaded. However, the 48-hour premise is stated twice in the first two sentences ('for the next 48 hours' / 'over the next 48 hours'), which is redundant waste.

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?

For a zero-parameter, no-output-schema endpoint, the description gives enough: what it returns, over what horizon, from what inputs, at what cost, plus a pointer to the generic endpoint's contract. Freshness and exact response field names remain unstated, but the core is complete.

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 is nothing for the description to disambiguate; the 4 baseline for a parameterless endpoint applies. The bracketed HTTP path confirms the EWR binding is baked into the route rather than passed as an argument.

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 (EWR aviation delay risk) with a defined horizon (next 48 hours) and explicitly positions itself as the EWR-bound variant of the generic delay-risk endpoint. An agent can distinguish it from weather_aviation-delay-risk and the other airport siblings 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 line 'Same shape as the generic delay-risk endpoint, bound to EWR' tells the agent when this tool is the right pick versus the generic version, giving clear context. It stops short of an explicit 'use X when Y, otherwise Z' routing statement, but the relationship to the sibling is unambiguous.

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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