Skip to main content
Glama

Weather along a drive

get_drive_weather
Read-onlyIdempotent

Arrival-time weather between named places, defaulting to departure now. Planned departures use local time at the origin within ten days. Missing or ambiguous places return clarification. Includes data credits and a link to the drive in Windshield Weather. Returns text and structured data without a card, suitable for scheduled or background checks, summaries and comparisons. The paired get_drive_weather_interactive tool also displays an interactive forecast card.

Input Schema

NameRequiredDescriptionDefault
unitsNoDefaults from openai/locale, otherwise the origin’s country.
intentNoOptional. In 15–25 words, the general purpose of this request, in the third person. Never include names, places, dates or other details from the conversation.
originNoWhere it starts, as the user named it. Omit it when the user means where they are now; the tool then uses the approximate area the assistant shares, if any.
departureNonow (the default) or a local date-time at the start, such as 2026-10-17T08:00. Up to the app’s forecast horizon, ten days.
destinationYesWhere the drive ends, as the user named it: a city, town, postcode, airport, park or landmark. Not a street address or coordinates.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent/no-side-effects, so the bar is lower, and the description still adds real behavior: missing or ambiguous places return a clarification, the response includes credits and a drive link, and the output is text plus structured data with no card. It does not state rate limits or failure modes beyond the ambiguity case.

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?

Four tight sentences, front-loaded with the core purpose before the output-shape and sibling details. Slightly dense with multiple facts stacked, but each sentence carries distinct decision-relevant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description carries the return-value burden and does so: text plus structured data, no card, includes data credits and a drive link. Combined with the five-parameter coverage, an agent has everything needed to invoke and interpret it.

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?

Schema coverage is 100%, so baseline is 3, but the description adds meaning the schema does not: departure defaults to 'now', planned departures are interpreted as local time at the origin within ten days, and omitted origin falls back to the assistant's shared approximate area. That genuinely clarifies defaulting behavior across parameters.

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 and resource (arrival-time weather along a drive between named places) with a scope qualifier (defaulting to departure now). It explicitly distinguishes itself from the interactive sibling, so an agent can differentiate without opening either 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?

Gives clear context for when this tool fits (scheduled or background checks, summaries and comparisons) and names the alternative (get_drive_weather_interactive) plus its differentiator (interactive forecast card). It stops short of steering between this and the highway-weather siblings, so selection among all four is only partly resolved.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources