macro_bank_usa_interest_rate

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds the observation window (1982-09-27 to present) and the return shape (:return 今值 %, :rtype pandas.Series), which is genuine context beyond the annotations, but it says nothing about refresh cadence, unit conventions, or missing-data behavior.

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 purpose sentence is front-loaded and the whole definition is only a few lines. The raw source URL is arguably filler and the docstring-style ':return:'/':rtype:' lines are unpolished, but nothing is bloated.

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 macro-data fetch with no output schema, the description supplies the essential missing pieces: what the series is, its historical span, and the returned object type. Only freshness/unit details are absent, which is a minor gap at this complexity.

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, so the baseline is 4. The description legitimately has no parameter semantics to explain, and the empty schema is consistent with the 'no-argument report fetch' framing.

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 states a specific resource (美联储利率决议报告 / Fed interest-rate decision report) and scope (data from 1982-09-27 onward), which is enough to identify it against the sea of macro_bank_* rate siblings. It is clear but offers no explicit differentiation from those siblings (e.g. macro_japan_bank_rate, macro_bank_china_interest_rate), so it stops short of 5.

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?

There is no when-to-use or when-not-to-use guidance, nor any mention of the many alternative interest-rate tools in the same family. An agent must infer selection purely from the tool name and the source URL, which is not a substitute for routing guidance.

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