macro_usa_adp_employment

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds the historical range and the return type (pandas.Series), which is useful, but says nothing about update frequency, latency, or the shape of the series beyond the type.

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?

It is short and front-loads the purpose, but includes docstring artifacts (:return:, :rtype:) and a raw source URL that add little for an agent choosing a tool. No wasted prose, but not cleanly structured either.

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?

For a no-arg data fetch with no output schema, the description conveys the subject, date range, and return type, which is the minimum needed. It does not describe the returned fields or units, so the agent cannot fully anticipate the result shape.

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 takes zero parameters, so there is nothing to document and no schema gap to compensate for; baseline 4 applies.

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 names a specific resource (US ADP employment report) and adds the data coverage window (20010601-至今), which is concrete. It does not, however, distinguish this tool from closely related siblings like macro_usa_non_farm or macro_usa_unemployment_rate, so an agent must infer the boundary itself.

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 when-to-use or when-not-to-use guidance and no mention of alternatives, despite many overlapping US labor-market siblings (macro_usa_non_farm, macro_usa_job_cuts, macro_usa_initial_jobless). The agent gets no routing help.

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