macro_usa_real_consumer_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 behavioral context like data range (since 20131107) and return type (pandas.DataFrame), but omits details on update frequency or column structure. No contradiction 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 concise (four lines) and front-loads the core purpose and data range. The included URL and return type are useful, though the :return: line partly repeats the title. No unnecessary fluff.

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, the description covers the data range, source, return type, and safety (via annotations). However, it lacks details on DataFrame columns, update cadence, and any quirks of the 'preliminary' report, making it only adequately complete for an agent to select the tool.

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 an empty schema, so there is nothing to compensate for. The description adds no parameter details, but none are needed. The baseline of 4 for 0 parameters 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 identifies the tool as retrieving the US real personal consumption expenditure quarterly rate preliminary report, with a specific data range and source URL. It distinguishes from siblings like macro_usa_personal_spending by specifying 'real' and '季率初值' (quarterly rate preliminary), though no explicit verb like 'get' or 'fetch' is used.

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 explicit guidance is provided on when to use this tool versus alternatives, and no exclusions or preferred contexts are mentioned. The specificity of the name implies a niche, but the description does not help an agent differentiate this from similar macro tools.

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