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

Goes well beyond the annotations by disclosing the response shape (observations newest first, preliminary flags, footnotes, latest value, MoM/YoY), per-call limits, the BLS retrieval date/disclaimer, and the payment requirement ($0.01 USDC via x402 on Solana) plus the equivalent HTTPS endpoint. For a paid, read-only API call, the pricing and response-format disclosure is exactly the context an agent needs before invoking.

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?

One dense, front-loaded sentence plus two short trailing facts (price, HTTPS endpoint). Every clause carries information, though the pricing/endpoint sentence could be trimmed for token efficiency.

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, the description does the heavy lifting on return contents (observations, flags, footnotes, changes) and on the payment gate. Missing only minor operational detail such as error/partial-failure behavior when some series ids are invalid.

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?

Schema coverage is 100%, so the schema already documents series, startYear, endYear, and latestOnly in detail. The description adds only the 25-series cap and the year-range notion, which largely restate the schema; it says nothing extra about latestOnly behavior. Baseline 3 is appropriate.

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 ('Any BLS time series by id') and enumerates covered series families (CPI, payrolls, LAUS, PPI, JOLTS, ECI), which lets an agent distinguish it from generic macro tools. It stops short of naming a sibling like macro_indicators or treasury_rates for disambiguation.

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?

Usage is implied by the series-id framing and the year-range scoping, so an agent knows this is the input path for BLS data. There is no explicit when-to-use/when-not or routing to alternatives among the many economy/finance siblings (us_macro, macro_indicators, treasury_rates).

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