macro_usa_nfib_small_business

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds useful context by stating the data range and that the return type is a pandas DataFrame. However, it does not disclose other behavioral traits such as update frequency, pagination, or whether it fetches from the provided URL, so it adds some but not rich value beyond 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 concise, consisting of a Chinese title sentence, a source URL, and a docstring-style return annotation. It avoids fluff and is easy to scan. The inclusion of the URL is a minor extra, but it provides reference value. It is slightly repetitive in that the return description echoes the title, but overall it is well-structured.

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 there are no parameters and no output schema, the description covers the essential facts: what data (NFIB small business confidence), the historical range, and the return type. However, it does not specify the data frequency (e.g., monthly), the exact columns, or any special behavior like how recent the data is. For a simple read-only macro indicator tool, this is adequate but not comprehensive.

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 input schema is trivially fully covered. The description appropriately does not elaborate on parameters, and the baseline score for no parameters is 4. The return type is specified, which helps the agent understand output without needing an output schema.

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 identifies the tool as providing the US NFIB Small Business Confidence Index report with a specific data range. It uses a specific resource noun phrase and implies retrieval, though it lacks an explicit verb like 'fetch' or 'get'. The name itself distinguishes it from sibling macroeconomic tools, even though the description doesn't explicitly compare with alternatives.

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 the data range (1975-02-01 to present) and a source URL, but gives no explicit guidance on when to use this tool versus other macro_usa_* indicators. It does not mention alternatives or provide exclusion criteria. The context is implied by the tool's name, but the description itself offers no usage direction.

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