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 states what the tool does (shows weather data) but lacks behavioral details such as whether it's read-only (implied but not stated), any rate limits, authentication needs, error handling, or what happens with invalid inputs. For a tool with no annotation coverage, this is a significant gap in transparency.

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: the first sentence states the core purpose, followed by details on what data is shown and parameter usage. The 'Args:' section is clearly structured. Every sentence adds value with no wasted words, making it easy to scan and understand.

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 no annotations, 0% schema coverage, and no output schema, the description does a decent job but has gaps. It covers the purpose, basic usage, and parameter semantics well, but lacks details on behavioral traits (e.g., read-only status, errors) and output format. For a simple weather query tool, it's minimally adequate but could be more complete.

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?

Schema description coverage is 0%, so the description must compensate. It does so effectively: it explains that 'ort' is a city name with examples ('Berlin', 'München', 'Hamburg'), and that 'lat' and 'lon' are optional alternatives to the city name, specifying they are latitude and longitude. This adds meaningful context beyond the bare schema, though it doesn't cover all possible edge cases (e.g., format of lat/lon).

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: 'Aktuelles Wetter an einem Ort in Deutschland' (current weather at a location in Germany) and specifies it shows temperature, precipitation, wind, cloud cover, etc. It distinguishes from siblings like 'wetter_warnungen' (weather warnings) by focusing on current conditions rather than alerts, though it doesn't explicitly name alternatives. The verb 'zeigt' (shows) is specific.

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 usage: it's for current weather in Germany, and specifies that either a city name OR lat/lon coordinates should be provided ('Entweder einen Stadtnamen ODER lat/lon angeben'). It doesn't explicitly state when not to use it or name alternatives like 'wetter_warnungen', but the context is sufficiently clear for basic decision-making.

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