german_reunification

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

Annotations declare readOnlyHint=true, which tells the agent this is a safe read operation. The description adds no behavioral context beyond that: it doesn't disclose what data is returned, whether the result is cached (as_handle suggests so), or any side effects. Since it adds nothing beyond the annotation, it scores low.

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 sentence, but it is under-specified rather than concise. It provides almost no information about the tool's function. It does not earn its place because it doesn't convey the necessary context to an agent.

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 has an output schema and annotations, the description still fails to explain the core purpose. An agent cannot infer what the 'German reunification dataset' contains or how to invoke the tool correctly. The description is not complete enough for a tool with 6 parameters, even if they are all optional.

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 100% — every parameter (detail, as_handle, data_path, result_id, data_columns, data_sample_n) has a description in the schema. The description adds no parameter information, but with full coverage, the baseline of 3 applies. It neither helps nor harms.

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 is a noun phrase: 'German reunification dataset (simulated).' It states the subject but no verb or action. It does not say whether the tool loads, returns, or analyses the dataset, nor does it distinguish it from any sibling. This is vague and leaves the agent guessing what calling the tool actually does.

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?

There is no guidance on when to use this tool versus the many sibling tools. No context, no alternatives, no exclusion criteria. An agent has no way to know if this is the right tool for a given task, especially given the large number of econometric tools present.

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