macro_usa_personal_spending

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

Annotations already declare the tool as read-only, non-destructive, and idempotent. The description adds useful context by specifying the return type (pandas.DataFrame) and the data range. It does not describe update frequency or data granularity, but the annotations cover the safety profile adequately, so the added information is sufficient for a basic transparency score.

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 compact and well-structured, including a source URL and return type in a clear docstring format. There is minor redundancy in repeating the report name, but no filler or unnecessary prose.

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?

The description provides the data range and return type, which is helpful for a simple zero-parameter read-only report. However, without an output schema, it does not disclose the structure of the returned DataFrame (e.g., columns, time aggregation). This is a gap, but the tool is simple and the annotations fill in the safety context, so the description is minimally complete.

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 the input schema covers everything. The description correctly omits parameter details, and with no parameters to document, the baseline of 4 is appropriate.

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 resource as a US personal spending monthly rate report with a specific date range (19700101-present). The resource is specific and the intent is clear, though it doesn't explicitly distinguish from sibling macro indicators like macro_usa_real_consumer_spending or macro_usa_retail_sales.

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. There are no mentions of use cases, exclusions, or comparative context despite the large set of sibling macro tools covering US economic indicators.

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