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weather_forecast-window_houston

Will it rain in Houston during your event window. Event-window weather odds for Houston: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Houston coordinates built in. [HTTP: GET /v1/forecast/houston/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.houston]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoWindow end (ISO-8601), ≤12h after start. Default: start + 6h.
startNoWindow start (ISO-8601). Default: the top of the next hour.

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 disclose the default window (next six hours), that it returns rain probability plus expected conditions, the HTTP method, and that access costs $0.02 via x402. It omits any note on rate limits, auth details, or limitations on window length beyond what the schema states.

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-loads the user-facing question ('Will it rain in Houston during your event window') then supplements with mechanism, defaults, and routing metadata. The trailing bracket block is dense but useful; a slight trim of the '/v1/forecast/window' comparison would tighten it further.

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 two-optional-param, no-output-schema read tool, the description covers what it returns (rain probability and expected conditions across the window), the fallback behavior, and cost/access. That is sufficient for correct invocation; only failure modes and output shape details are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters carry their own descriptions including defaults, so the schema already does the heavy lifting. The description restates the start/end semantics and the omission behavior but adds no format or constraint detail beyond the schema (e.g. the ≤12h cap lives only in the schema).

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 outcome (rain probability in Houston across an event window) with a clear verb-resource pairing, and distinguishes itself from the sibling point-forecast (weather_forecast_houston) and generic window tool (weather_forecast-window) by noting the Houston coordinates are built in. An agent can select it 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?

Explains when to use it ('built for scheduling decisions'), how to call it ('pass a start and end time, or omit them for the next six hours'), and how it relates to the generic /v1/forecast/window. It never explicitly names an alternative tool to avoid, so it falls short of the 5 tier.

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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