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

With no annotations, the description carries the full burden and does so well: it discloses the FRED/ALFRED sourcing, the first-release-vs-latest/revision-flag semantics ('revisions never pose as print-day numbers'), how surprise is derived (market-implied vs trend-model), and the cost ($0.02 via x402). It stops short of describing rate limits, auth requirements, or failure modes.

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 lead sentence ('latest print, revisions, surprise') is immediately restated and expanded in the second sentence, creating redundancy. The HTTP/pricing footer is compact and useful, but the description could be tightened without losing content.

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 tool with no output schema and no annotations, the description enumerates the returned fields (first-release, latest, revised flag, surprise vs labeled expectation, next release date, 12-observation series) so an agent knows what to expect. The reference to '/v1/econ/:series' shape is slightly circular for a caller without that doc, but the explicit field list compensates.

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 and the schema is an empty object, so there is nothing to document beyond confirming the no-arg nature; baseline 4 applies. The description correctly implies no filtering inputs are needed.

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?

States a specific verb+resource ('Unemployment rate (BLS, monthly)') and enumerates exactly what the tool surfaces: latest print, revisions, surprise, next release date, mini-series. It clearly distinguishes itself from the generic econ_series sibling by noting it is 'bound to unemployment' and from other econ_series_* siblings by naming the BLS unemployment series.

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 note 'Same shape as /v1/econ/:series bound to unemployment' implies this is the unemployment specialization of the generic series endpoint, which is useful routing context. However, it never explicitly states when to prefer this tool over econ_series or how it differs from other econ_series_* variants, leaving the agent to infer usage from the name.

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