get_smard_data

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

With no annotations provided, the description carries the burden of behavioral disclosure. It discloses the data source (SMARD/BNetzA), the data granularity (hourly), and the authentication requirement (no API key). However, it does not mention response format, rate limits, supported time ranges, or any operational limitations.

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 a single, focused sentence that front-loads the key facts (German, SMARD, hourly data types, no API key). No wasted words or redundancy.

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?

The tool is simple (one parameter, no output schema), and the description covers the data domains. However, it lacks context about the output structure, time range of data returned, or whether data is real-time/historical. Given the simplicity, it is adequate but not fully 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?

The input schema has 100% parameter coverage, including a description for the 'dataset' enum. The tool description adds no extra parameter-level semantics beyond what the schema already provides. Baseline 3 is appropriate given the high schema coverage.

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 uses a specific verb+resource+scope: "German electricity from SMARD (BNetzA): hourly generation, consumption, market data." It clearly distinguishes this tool from sibling tools like get_gb_grid_demand (UK) and get_eu_gas_price (EU) by explicitly naming the German source and data categories.

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 implies use for German electricity data but does not explicitly state when to use this tool versus alternatives. It notes "No API key" as a practical prerequisite, but there is no mention of exclusions or alternative tools for other regions or data types.

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