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weather_aviation_bos

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

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 full burden and does well: it discloses the 48-hour horizon, the 6-hour score granularity, the inputs driving the risk (wind gusts, convective potential, winter/sustained precipitation, cloud cover), and even the price and transport (HTTP GET /v1/aviation/delay-risk/BOS, $0.02 via x402). It does not describe the response structure beyond deferring to 'same shape as the generic delay-risk endpoint', which is a minor gap.

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 lead sentence front-loads the essential fact (BOS delay risk, 48 hours) before the supporting detail. There is mild redundancy between the first and second sentences restating the same scope, and the bracketed HTTP/pricing/docs block is dense, but overall it is efficient and well-ordered.

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-annotation, no-output-schema tool, the description supplies what an agent needs: horizon, score cadence, risk drivers, and endpoint/pricing context. It could say more about the returned fields rather than referring the reader to the generic endpoint's shape, but nothing critical for correct invocation is missing.

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 clarify; the 4 baseline applies. No parameter-related ambiguity exists.

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+resource (weather-driven delay risk for Boston Logan) with a bounded scope (next 48 hours) and explicitly distinguishes itself from the generic 'delay-risk' endpoint by being 'bound to BOS'. An agent can identify this as the BOS-specific variant without opening any 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 description names the alternative (the generic delay-risk endpoint) and the condition that selects this tool (BOS-bound), which is clear routing context. It stops short of explicit exclusions, e.g. it does not say when to prefer weather_forecast_boston or the generic endpoint instead, so it is a 4 rather than a 5.

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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