macro_usa_michigan_consumer_sentiment

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds the data range and source URL, which is useful context, but it does not disclose data update frequency, limitations, or how 'preliminary' differs from a final report. Given the annotation coverage, a score of 3 is appropriate.

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 but contains redundancy: the phrase '美国密歇根大学消费者信心指数初值报告' appears in the title, the first line, and the ':return:' line. The URL and ':rtype:' are useful, but the repetition makes it less concise than it could be. A single statement of the resource would be sufficient.

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 data retrieval tool with strong annotations, the description provides the key context: the specific indicator, the full historical date range, and the return type as a pandas.DataFrame. It doesn't list columns or data frequency, but no output schema exists and the tool's simplicity makes this a reasonable level of completeness.

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 baseline is 4. The description correctly does not introduce any parameter meaning since none exist. No additional parameter semantics are needed, and the empty schema fully covers this aspect.

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 specific resource (University of Michigan Consumer Sentiment Index preliminary report) and provides the data range (19700301-present). It distinguishes itself from the numerous sibling macro tools by naming the exact indicator. However, it lacks an explicit action verb like 'fetch' or 'retrieve', instead using a noun phrase, which slightly reduces clarity.

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 is no mention of suitable use cases, exclusions, or sibling tools. For a simple zero-parameter data retrieval tool, the context is implied but not stated, so the agent receives no explicit direction.

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