germany-mcp-server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the data source (Bundesnetzagentur) and what information is shown (total consumption and trend), but doesn't disclose important behavioral aspects like whether this is real-time or historical data, update frequency, rate limits, authentication requirements, or what format the output takes. For a tool with zero annotation coverage, this is insufficient.

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 extremely concise and well-structured. The first sentence immediately states the core purpose, followed by additional details about what's shown and the data source. Every sentence earns its place, with no wasted words or redundant information.

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 that this is a data retrieval tool with no annotations and no output schema, the description should provide more complete context. It doesn't explain what the output format looks like, whether the data is real-time or historical, update frequency, or any limitations. For a tool that presumably returns structured data about electricity consumption, this leaves significant gaps for an AI agent.

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 zero parameters, and the schema description coverage is 100% (though there are no parameters to describe). The description appropriately doesn't discuss parameters since none exist, which is correct for this tool. A baseline of 4 is appropriate for zero-parameter tools.

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: to show current electricity consumption in Germany, including total consumption and trend using data from Bundesnetzagentur. It uses specific verbs ('shows') and identifies the resource ('electricity consumption in Germany'), but doesn't explicitly distinguish it from its sibling 'strom_erzeugung' (electricity generation).

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 when this tool is appropriate versus other energy-related tools like 'get_energy_prices' or 'strom_erzeugung', nor does it specify any prerequisites or exclusions for its use.

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