macro_usa_personal_spending

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: the data coverage starts from 1970-01-01 and the return type is a pandas.DataFrame. No contradictions with 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 short and front-loads the main purpose before adding the data range, URL, and return type. It wastes little space, though the URL is not strictly necessary for an agent and the :return:/:rtype: lines are somewhat redundant with the first sentence.

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 zero-parameter, read-only data retrieval tool with no output schema, the description provides the essential context: what the report is, the data range, and the return type. It does not explain update frequency or how to refresh, but given the annotations and simplicity, it is largely 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 takes zero parameters, so the schema is empty and there is nothing to document. The baseline for zero-parameter tools is 4, as the description correctly focuses on what the tool returns rather than parameter details.

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 the exact resource: '美国个人支出月率报告' (US personal spending monthly report) and its data range since 1970-01-01. It clearly identifies what data is returned without needing to open a schema. However, it does not explicitly differentiate from the close sibling macro_usa_real_consumer_spending, leaving minor ambiguity.

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 guidance on when to use this tool versus alternatives. The description only states what the tool returns; it does not mention any context, prerequisites, or when-not-to-use conditions. For a simple data retrieval tool this is a noticeable gap.

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