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 of behavioral disclosure. While it implies a read-only operation (finding stations), it doesn't mention potential limitations like rate limits, authentication needs, data freshness, or what the return format looks like (e.g., list of stations with details). For a tool with zero annotation coverage, this is a significant gap.

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 purpose clearly, followed by a structured 'Args' section. There's no unnecessary verbosity, though the 'Args' label could be more integrated (e.g., as part of the main text).

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 (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the purpose and parameter basics but lacks behavioral context, usage guidance, and output details, leaving gaps for an AI agent to infer correctly.

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 description includes an 'Args' section that explains the 'autobahn' parameter with an example ('A2', 'A7'), adding meaning beyond the schema which only provides a title and default value. However, with 0% schema description coverage and only one parameter documented, the baseline is met but not exceeded—it doesn't cover additional details like format constraints or valid Autobahn codes.

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: 'E-Auto-Ladestationen entlang einer Autobahn finden' (find electric vehicle charging stations along a highway). It specifies both the verb ('finden') and resource ('Ladestationen'), though it doesn't explicitly differentiate from sibling tools like 'autobahn_baustellen' or 'autobahn_warnungen' which have different purposes.

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 no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'autobahn_baustellen' or 'get_energy_prices' that might be relevant in related contexts, nor does it specify prerequisites or exclusions for usage.

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