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get_weather

Read-only

Hourly NWS forecast, active alerts and nearby road-weather stations for any US place, with driving hazards flagged by hour.

Road-weather stations are state DOT sensors: pavement and air
temperature, wind gusts and visibility, where a state publishes them.

Input Schema

NameRequiredDescriptionDefault
hoursNoHours of hourly forecast.
placeNoAn address, landmark or place anywhere in the US, e.g. '1600 Pennsylvania Ave, Washington DC' or 'Pike Place Market'. Include city and state when you have them. 'home', 'work' or a saved place's name use the user's saved places (see get_my_places). Leave origin out to start from the user's Home.
centerNoExact 'lat,lon' instead of a place name, e.g. '47.6097,-122.3421'. Wins over the place name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover read-only and open-world behavior. The description adds useful behavioral context about the data sources and coverage: NWS forecast, active alerts, and state DOT road-weather sensors where a state publishes them, including pavement/air temperature, wind gusts, and visibility.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded, appropriately short, and the second paragraph earns its place by clarifying what road-weather stations are and that availability depends on state publication.

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 three-parameter, read-only weather lookup with no output schema, the description sufficiently lists the returned components: hourly forecast, alerts, stations, and driving hazards. It could be slightly more explicit about response shape, but no major invocation detail is missing.

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 hours, place, and center are already documented in the input schema. The description adds general scope ('any US place') but no additional parameter semantics beyond the schema.

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 clearly identifies the resource as an hourly NWS forecast plus active alerts and nearby road-weather stations, scoped to any US place, with driving hazards flagged by hour. It is distinguishable from siblings like get_traffic or get_incidents, though it does not explicitly name alternatives.

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?

Usage is implied through 'for any US place' and 'driving hazards flagged by hour,' giving a clear weather-for-driving context. However, it does not explicitly state when to use this instead of route-focused tools such as check_route, plan_trip, or best_time_to_go.

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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