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 mentions the tool 'shows' warnings, implying a read-only operation, but doesn't disclose behavioral traits like data freshness, rate limits, authentication needs, or error handling. For a public API tool with no annotations, this leaves significant gaps in understanding how it behaves in practice.

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 appropriately sized and front-loaded: it starts with the core purpose, provides examples, and cites the source in two concise sentences. Every sentence adds value without redundancy, making it efficient and easy to scan.

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 has no parameters, no annotations, and no output schema, the description is moderately complete. It explains what the tool does and gives examples, but lacks details on output format, data scope (e.g., geographic limits), or behavioral context. For a simple read tool, this is adequate but has clear gaps in transparency.

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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter semantics, but that's unnecessary here. A baseline of 4 is appropriate as the schema fully covers the lack of parameters, and the description doesn't need to compensate.

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: 'Aktuelle Katastrophen-Warnungen in Deutschland' (current disaster warnings in Germany) and lists specific examples like floods, storms, power outages, and fires. It distinguishes from siblings by focusing on NINA/BBK warnings rather than traffic, weather, or other data. However, it doesn't explicitly contrast with 'get_german_weather_warnings' or 'wetter_warnungen', which might overlap.

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?

No explicit guidance on when to use this tool versus alternatives is provided. The description mentions the source (Bundesamt für Bevölkerungsschutz) but doesn't clarify when to choose this over 'get_german_weather_warnings' or 'wetter_warnungen' for weather-related alerts, or other sibling tools for different hazards. Usage is implied by the content but not explicitly stated.

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