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weather_forecast-window_los-angeles

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

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

A3.7/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does meaningful work: it discloses the HTTP GET method, the $0.02 x402 payment requirement (an auth/cost constraint an agent must know before calling), the docs URL, and the default window behavior. It does not mention rate limits or error behavior, but the payment disclosure alone is valuable context absent from structured fields.

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 framing question is front-loaded and the follow-up sentence is efficient. There is mild redundancy between 'Will it rain...' and 'Event-window weather odds...', and the trailing bracketed metadata block is dense, but it earns its place by carrying pricing and method details.

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?

With no annotations and no output schema, the description needs to stand alone, and it does: it names the returned quantities (rain probability, expected conditions), the default window, the payment cost, and the transport. Missing only secondary details like rate limits or response structure, which is acceptable for a two-parameter, zero-required tool.

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 ISO-8601 pattern and default descriptions ('Default: start + 6h', 'Default: the top of the next hour'). The description's 'omit them for the next six hours' largely restates the schema defaults, so baseline 3 is appropriate with no added syntax or format meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: rain probability and expected conditions across a user-supplied window for Los Angeles, framed as an event-window forecast. It implicitly separates itself from the daily sibling weather_forecast_los-angeles via 'event-window', but never names an alternative or explicitly contrasts with the generic weather_forecast-window it references, so it stops short of full sibling routing.

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?

'Built for scheduling decisions' and 'pass a start and end time (or omit them for the next six hours)' give clear implied usage context and default behavior. However, there is no explicit when-not-to-use guidance and no named alternative for cases where a daily forecast or a different city window is wanted, which matters given the large sibling set of city-window variants.

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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