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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds valuable behavioral context: it is a self-hosted official snapshot, it paginates, includes raw-package hash and attribution, and covers a fixed date range. It also clarifies that the data is not a live market quote, which is a meaningful caveat beyond what annotations convey. No contradiction with annotations.

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 composed of three focused sentences: what it returns, when to use it, and its scope/limitation. No fluff or redundancies. The key functional statement is front-loaded, and the usage guidance is concrete and immediately actionable.

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 compensates by enumerating the response components (metadata, values, pagination, D1 coverage, hash, attribution). It also addresses scope and non-liveness. It does not mention error handling or how to locate series names, but the sibling fed_board_h15_search_series covers that route. For a bounded historical data tool with six parameters locked down by schema, this is sufficiently complete.

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 schema has 100% description coverage, providing per-parameter details for series, limit, offset, start_date, end_date, and response_format. The description adds only marginal semantics by emphasizing 'active' series and the bounded nature of the history. Since the schema already carries the parameter meaning, a baseline score of 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?

The description opens with a clear verb-resource pairing: 'Return a bounded history for one active Federal Reserve Board H.15 business-day rate series.' It distinguishes itself from sibling tools by specifying 'history' (vs yield curve/spread), 'one active series' (vs search), and 'bounded' (vs full list). The usage examples reinforce what it does with concrete natural-language queries.

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 explicitly provides example use cases ('show the effective federal funds rate history', 'get daily 10-year Treasury yields', 'what was prime over this period?') and scopes its applicability to 2000-present while noting it is not a live market quote. It does not explicitly mention alternative tools like fed_board_h15_search_series or fed_board_h15_yield_curve, but the scope boundaries and examples make the intended context clear.

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