macro_usa_cb_consumer_confidence

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so safety behavior is covered. The description adds useful context beyond that — the source URL and the historical range starting 19700101 — but says nothing about update cadence or refresh lag.

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?

It is a single dense line that largely restates the annotation title, plus a URL, a data range and boilerplate :return:/:rtype: lines. Nothing is wasteful exactly, but it is not front-loaded prose and the :rtype: line duplicates the return statement.

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 report fetcher with no output schema, the description supplies the essential facts: what the dataset is, its source, its time span, and the return type (pandas.DataFrame). Column-level detail is absent, but the core contract is 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 description has nothing extra to explain; the schema fully covers the (empty) input surface. Baseline 4 applies for a parameterless tool.

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 a specific resource — the US Conference Board (谘商会) Consumer Confidence Index report from Jin10 Data Center — with a concrete verb implied (retrieve the report). It is clear what data the agent gets, but it does not distinguish this from the near-identical sibling macro_usa_michigan_consumer_sentiment.

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?

It states the data range (19700101-present) but gives no guidance on when to choose this tool over the many other US macro indicators in the sibling list. No exclusions, no alternatives, no scenario framing.

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