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weather_aviation_atl

ATL weather delay risk for the next 48 hours. Weather-driven delay risk for Atlanta Hartsfield-Jackson (ATL) 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 ATL. [HTTP: GET /v1/aviation/delay-risk/ATL · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.aviation.atl]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
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 reasonably well: it discloses the time horizon (48h), the output granularity (6-hour risk scores), the meteorological drivers (wind gusts, convective potential, winter/sustained precipitation, cloud cover), and operational facts such as the HTTP path and $0.02 x402 pricing. It does not describe the return payload shape, only asserting it matches a sibling.

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?

Front-loaded with the essential fact (ATL, delay risk, 48h), and the metadata bracket is useful rather than padding. It loses a point for mild redundancy – the 48-hour horizon is stated twice in the first two sentences, and 'Weather-driven delay risk for...' largely restates the opening line.

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 parameterless, annotation-free endpoint with no output schema, the description covers horizon, resolution, drivers, and cost. The one gap is the return structure, which is deferred to 'same shape as the generic delay-risk endpoint' rather than described, requiring the agent to already know that sibling's payload.

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, which is the baseline-4 case. There is nothing for the description to clarify beyond implicitly confirming the call is ATL-fixed rather than parameterized, which it does.

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 location binding (Atlanta Hartsfield-Jackson / ATL), and a horizon (next 48 hours). It explicitly differentiates itself from the sibling weather_aviation-delay-risk as the ATL-bound variant, so an agent can distinguish it from other airport 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 Guidelines3/5

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

The phrase 'bound to ATL' implicitly tells the agent to pick this over the generic endpoint when ATL is the target, but there is no explicit when-to-use statement and no routing against the many adjacent siblings (weather_forecast_atlanta, weather_forecast-window_atlanta, weather_aviation-delay-risk). Usage is implied rather than stated.

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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