germany-mcp-server

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

No annotations are provided, so the description carries the full burden. It discloses that the tool retrieves current warnings directly from DWD, implying real-time data and an external API call. However, it lacks details on rate limits, error handling, authentication needs, or response format, which are important for a tool fetching live data.

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

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

The description is well-structured and front-loaded: the first sentence states the core purpose, followed by details on warning types and source, then parameter documentation. Every sentence adds value with no redundancy, making it efficient and easy to parse.

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

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

Given the tool's moderate complexity (1 parameter, no output schema, no annotations), the description is mostly complete. It covers purpose, source, parameter usage, and filtering logic. However, it lacks details on output format (e.g., structure of warnings) and behavioral aspects like data freshness or errors, which would enhance completeness for an API-based tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

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 fully documents the single parameter 'region', explaining it filters by federal state or region (e.g., 'Bayern', 'NRW'), with examples and noting that an empty string returns all warnings nationwide. This adds essential meaning beyond the basic schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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 weather warnings from the German Weather Service (DWD) for various hazard types like storms, thunderstorms, heavy rain, heat, etc. It specifies the source ('official warnings directly from DWD') and distinguishes it from sibling tools like 'nina_warnungen' or 'wetter_warnungen' by focusing on DWD-specific data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: to get official weather warnings from DWD for Germany. It does not explicitly state when not to use it or name alternatives (e.g., 'nina_warnungen' for civil protection warnings), but the context is sufficiently clear given the tool's specific focus on DWD data.

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