macro_usa_crude_inner

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds the data range, a source URL, and the return type (pandas.DataFrame), which are useful behavioral details. However, it does not disclose data frequency, units, columns, or any other operational traits, so it adds moderate but not rich context.

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 and front-loaded with the purpose, then the source URL, and ends with return type. It is appropriately sized, though it repeats '美国原油产量报告' twice, which is a minor redundancy. Overall it earns its place without excessive verbosity.

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's simplicity (no parameters, no output schema), the description conveys the essential purpose, date range, and return type. However, it lacks specifics such as data frequency (daily/weekly), units (barrels per day?), or list of DataFrame columns. Since there is no output schema, these details would have improved the description, but the basic information is present.

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 schema coverage is trivial (100% empty). The description correctly shows no parameters are needed, and the baseline for 0-parameter tools is 4. There is no need for additional parameter semantics because there is nothing to configure.

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 a U.S. crude oil production report with an explicit date range (19830107 to present). Although it lacks an explicit verb like 'get' or 'retrieve', the return annotation and data range make the purpose unambiguous. It distinguishes from sibling tools like macro_usa_eia_crude_rate and macro_usa_api_crude_stock by focusing specifically on production.

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 no guidance on when to use this tool versus alternatives. It simply states what the report is and gives a date range, but does not mention any conditions, exclusions, or mention of sibling tools. There is no indication of when the user should choose this over other crude-oil-related tools, leaving the agent without direction.

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