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Weather MCP Server by Meteosource

get_alerts

Official weather warnings (severe weather alerts) for up to 20 locations.

Returns only locations that currently have an active alert, with event
type, severity, validity window and headline — an empty list means all
clear. Cheap to call frequently; designed for monitoring/polling.
Coverage: USA, EU countries and Canada. Requires the startup tier or
higher (not available on the free tier).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoen
locationsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does it well: it discloses that only locations with an active alert are returned, that an empty list is a valid all-clear signal, geographic coverage (USA/EU/Canada), and a tier/auth prerequisite. It does not state what happens for out-of-coverage coordinates or error behavior, leaving a small gap.

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 core identity is front-loaded in the first line, then return-shape, cost profile, coverage, and access tier follow in short scannable clauses. No sentence is redundant.

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?

Without an output schema or annotations, the description still explains the return payload (event type, severity, validity window, headline), the empty-result case, coverage limits, and cost/access constraints. Only the undocumented 'language' parameter keeps it from being fully complete.

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?

The description adds a genuinely useful constraint absent from the schema: a hard cap of 20 locations. However, the top-level 'language' parameter is never mentioned, and location-input semantics (place_id vs lat/lon, label echo) are only covered by the schema's nested descriptions rather than the tool description itself.

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 ('Official weather warnings (severe weather alerts)') plus a clear scope limit of up to 20 locations. An agent can immediately separate this from get_forecast, get_air_quality, or search_places without inspecting the 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 operating context: 'designed for monitoring/polling' and 'cheap to call frequently', and explains that an empty list means all clear, which tells the agent how to interpret results. It stops short of explicitly naming an alternative sibling (e.g. use get_forecast for outlooks) or stating when not to use it.

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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