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

Annotations already mark the tool as read-only and non-destructive. The description adds meaningful behavioral context: the source, per-call cost, and cryptographic attestation/verification path. It doesn't mention data frequency or output shape, but that is not required beyond the annotations here.

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 first two sentences are front-loaded and useful, but the cost and attestation details are slightly redundant ($0.02 appears twice) and the verification line adds noise. Still compact overall, though not maximally tight.

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?

With no output schema and no parameters, the description covers the key return characteristics (billions USD, MoM/YoY changes) and enough operational info (source, cost, verification). It is slightly vague about the reference month/period, but adequate for an agent deciding to call it.

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?

There are zero parameters, so the description need not explain argument semantics. It correctly avoids inventing parameters and focuses on the returned data, which is the baseline-4 case for a no-parameter 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 identifies a specific economic benchmark ('US advance retail sales from FRED'), the unit (billions USD), and the derived metrics (MoM and YoY percent change). It doesn't state an explicit verb like 'retrieves', but the resource is specific and clearly distinguishable from sibling economic benchmarks such as consumer sentiment or inflation.

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 gives concrete use cases ('consumer demand monitoring, recession signals, and revenue forecasting agents'), which informs when to select it. It stops short of naming alternatives like get_consumer_sentiment_benchmark or explicit exclusions, so it provides clear context without prescriptive routing.

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