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malkreide

meteoswiss-mcp

by malkreide

meteo_warnings

Read-only

List current MeteoSwiss weather warnings including storms, rain, snow, and heat. Get official warning map and MeteoAlarm link, optionally filtered by canton.

Instructions

<use_case> Aktuelle MeteoSwiss-Wetterwarnungen (Gewitter, Starkregen, Sturm, Schnee, Hitze, Frost, ...) auflisten. Liefert die offizielle Warnkarte

  • MeteoAlarm-Link + opendata.swiss-Datensätze. </use_case>

<important_notes>

  • MeteoSwiss Warnings-API als REST ist erst ab OGD Phase 2 (geplant Q2 2026) verfügbar; bis dahin liefert dieses Tool den Linkstack.

  • Warnstufen-Skala: 1=Keine, 2=Gering, 3=Mässig, 4=Stark, 5=Sehr stark.

  • Bei aktiven Warnungen Stufe 4+: Aussenveranstaltungen verschieben. </important_notes>

Args: params (WarningsInput): - canton: Kantonskürzel zum Filtern (z.B. 'ZH') - response_format: 'markdown' oder 'json'

Returns: str: Links zu aktuellen MeteoSwiss-Warnungen und Warnkarte.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations indicate readOnlyHint=true, and description adds that it returns a link stack until Q2 2026, plus warning scale and advice for level 4+. No contradiction.

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?

Well-structured with clear sections (use_case, important_notes, example), front-loaded, no unnecessary content.

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?

Covers purpose, parameters, return format, scale, and availability limitation. With output schema, explanation of links and datasets is sufficient.

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 0% (despite inline descriptions in referenced object, context says 0%). Description provides examples and canton format but does not add much beyond schema for response_format.

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?

The description explicitly states 'Aktuelle MeteoSwiss-Wetterwarnungen auflisten' and lists warning types, distinguishing it from siblings like meteo_forecast or meteo_climate_normals.

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?

Includes a use case section and important notes about API availability and link stack limitation. Lacks explicit when-not-to-use compared to siblings, but context implies warnings only.

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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