index_bloomberg_billionaires

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

The annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the source URL and return type, providing minimal additional context, but does not disclose any behavioral traits such as data update frequency, rate limits, or data scope beyond the index itself.

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 very brief, containing only the title, URL, return value, and return type. It is compact without excessive waste, though the formatting is a bit raw (colon markers in a block). For a no-parameter tool, this level of conciseness is appropriate.

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 there is no output schema, the description only states that it returns the Bloomberg Billionaires Index as a DataFrame, but does not describe the data's contents, columns, or whether it represents current snapshot vs. historical data. The minimal description is sufficient for a simple retrieval but leaves gaps in understanding exactly what data will be returned.

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, so there are no parameter semantics to describe. The baseline score of 4 applies because the input schema is empty and fully covers all parameters (none exist), and the description does not need to compensate for any missing schema information.

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 states 'Bloomberg Billionaires Index' and a :return: of 彭博亿万富豪指数 as a pandas DataFrame, which implies it retrieves the index data. However, there is no explicit verb like 'get' or 'list', and it does not differentiate from the sibling tool index_bloomberg_billionaires_hist, making the purpose somewhat vague.

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. The description does not mention historical vs. current data, nor does it reference any sibling tools or conditions for use, leaving the agent without direction on selection.

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