macro_usa_factory_orders

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 useful context beyond the annotations: the historical data range (since 19920401) and the upstream source URL. It says nothing about update cadence, latency, or column shape, so it only partially exceeds the annotation baseline.

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 purpose and data range are front-loaded, followed by the source link and a compact return-type note. It is short and mostly waste-free, though the ':return:' line simply restates the resource name already given in the first line.

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 parameterless data-fetch tool with no output schema, the description is complete enough: it identifies the series, its temporal coverage, the data source and the return type (pandas.DataFrame). What is absent is update frequency and column semantics, which are minor for invocation.

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?

With zero parameters, the baseline of 4 applies; there are no parameters whose meaning the description must clarify. Nothing in the definition misrepresents the empty input schema.

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 the specific resource (美国工厂订单月率报告, US Factory Orders MoM) and gives the data coverage window (since 1992-04-01), which is enough to distinguish it from adjacent US macro siblings such as macro_usa_durable_goods_orders. There is no explicit verb, but for a zero-parameter data-retrieval tool the resource identification is clear.

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 offers no when-to-use or when-not-to-use guidance and does not name any alternative from the crowded macro_usa_* family. The agent is left to infer usage from the resource name alone.

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