macro_germany_trade_adjusted

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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds the source URL and return type (pandas.DataFrame), which is useful, but it does not disclose data granularity, update frequency, or other behavioral traits beyond the annotations.

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 short, but the first line is identical to the title, making it redundant. The URL and return type are useful, but the structure is a set of fragments rather than a coherent, front-loaded description.

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 description is minimal for a data-fetching tool with no output schema. It specifies the source and return type, but does not mention the columns of the DataFrame or any details about the data content, which is a gap for a macro economic indicator.

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?

This tool has 0 parameters, and the schema description coverage is 100%. The baseline for 0 parameters is 4, and the description does not need to add parameter details since none exist.

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 identifies the specific resource as Germany's seasonally adjusted trade balance from East Money, which is a clear and distinct resource among siblings like macro_uk_trade or macro_germany_cpi. However, it lacks an explicit verb like 'retrieves' or 'gets', relying on the URL and return type to imply data retrieval.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, or exclusion criteria, leaving the agent without contextual selection information.

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