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weather_forecast-window_minneapolis

Will it rain in Minneapolis during your event window. Event-window weather odds for Minneapolis: 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 Minneapolis coordinates built in. [HTTP: GET /v1/forecast/minneapolis/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.minneapolis]

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 disclosure burden and does well: it states the return content (rain probability and expected conditions), the default behavior when times are omitted, the HTTP method (GET, implying read-only), and notably the cost/auth model ($0.02 via x402) plus a docs link. It omits rate limits but covers the operationally important traits.

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 question-style purpose sentence, then the mechanics, then the endpoint metadata bracket. Slightly wordy with the boilerplate HTTP/price/docs block, but each sentence is informative and nothing essential is buried.

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-parameter tool with no output schema or annotations, the description covers what it returns, the default window, pricing, and endpoint. An agent has enough to invoke it correctly; it does not need to explain return shapes further.

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 description coverage is 100%, so both start and end are already documented in detail (defaults, ISO-8601, ≤12h span). The description's only added meaning is the aggregate hint that omitting both yields 'the next six hours', which aligns with but does not exceed the schema, so the baseline 3 applies.

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/outcome (rain probability across a window) and a specific resource (Minneapolis event-window forecast). It also distinguishes itself from the generic sibling by noting it is the same shape as /v1/forecast/window but with Minneapolis coordinates built in, so an agent can tell it apart from weather_forecast-window and weather_forecast_minneapolis.

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?

Gives clear context that it is 'built for scheduling decisions' and that you pass a start/end or omit them for the next six hours. It references the sibling /v1/forecast/window, but does not explicitly say when to prefer this city-specific variant over weather_forecast_minneapolis or weather_forecast-point.

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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