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

Goes far beyond the annotations (which only cover readOnly/idempotent/destructive) by disclosing price ($0.01 base), currency and chain (USDC on Base only), charging semantics (bad input refused before payment; full price charged if any series returns data, refused if none do), and data staleness (up to 1 hour old). It also supplies attribution and non-affiliation with BLS, which matters for a data-resale tool.

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?

Purpose is front-loaded and the body is mostly high-value. However, it repeats itself: 'USDC on Base only' appears twice and the 20-year cap is stated twice, and the payment/charging rules could be tightened into fewer clauses.

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 quote tool with no output schema, the description covers pricing, payment protocol, refusal/refund rules, and data provenance, which is nearly everything an agent needs. The one gap is that it never characterizes the shape of the returned payment-terms payload (e.g., what fields the quote contains).

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?

Zero schema parameters, so the baseline is 4, but the description adds genuine meaning by documenting the underlying query options: optional start/end years with a 2024/2026 example and a 20-year cap. That is information the empty input schema cannot convey.

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?

Opens with a specific verb and resource: returns payment terms for a named URL, with the explicit scope limit that it never runs the check or pays. The resource (BLS U.S. jobs figures: payrolls, unemployment rate, average hourly earnings) distinguishes it from sibling quote tools like cpi_series_quote or sec_filings_quote without needing the schema.

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?

Clearly frames the workflow: get the quote here, then pay the 402 over HTTP with x402 v2 via a parameterless GET or ?start/?end. It also sets an exclusion boundary ('this tool never runs the check or pays'). It stops short of naming sibling alternatives for other datasets, but the usage context is unambiguous.

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