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AiAgentKarl

germany-mcp-server

wetter_warnungen

Get current DWD weather warnings for severe storms, thunderstorms, heat, and other hazards in Germany. Specify a location for targeted alerts or view all nationwide warnings.

Instructions

Aktuelle DWD-Wetterwarnungen für einen Ort.

Zeigt Unwetter, Sturm, Gewitter, Hitze etc. Ohne Ort: alle Warnungen bundesweit.

Args: ort: Stadtname (optional, z.B. "Frankfurt") lat: Breitengrad (optional) lon: Längengrad (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ortNo
latNo
lonNo
Behavior3/5

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

With no annotations provided, the description carries the full burden. It explains the tool's behavior: retrieving current warnings, showing types of warnings, and handling location parameters. However, it lacks details on rate limits, authentication needs, error handling, or response format. The description doesn't contradict any annotations since none exist.

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 description is well-structured and appropriately sized. It starts with the core purpose, adds details about warning types, explains the location logic, and includes a parameter section. Every sentence adds value, though the parameter section could be slightly more concise.

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

Completeness3/5

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

Given no annotations, 0% schema coverage, and no output schema, the description is moderately complete. It covers the purpose, usage, and parameters adequately but lacks details on behavioral aspects like response format, error conditions, or data freshness. For a tool with 3 parameters and no structured metadata, more context would be helpful.

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?

The schema description coverage is 0%, so the description must compensate. It adds meaningful semantics: 'ort' is a city name with an example, 'lat' is latitude, and 'lon' is longitude. It clarifies that all parameters are optional and explains the default behavior (nationwide warnings if no location provided). This goes beyond the basic schema, though it doesn't cover all possible edge cases.

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 clearly states the tool's purpose: retrieving current DWD weather warnings for a location. It specifies the types of warnings (storms, thunderstorms, heat, etc.) and distinguishes it from sibling tools like 'get_german_weather_warnings' and 'nina_warnungen' by mentioning the DWD source and focusing on warnings rather than current weather or other alert systems.

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?

The description provides clear context on when to use the tool: for weather warnings at a specific location or nationwide if no location is provided. It doesn't explicitly mention when not to use it or name alternatives, but the distinction from siblings like 'wetter_aktuell' (current weather) is implied by the focus on warnings.

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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