macro_bank_australia_interest_rate

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and non-destructive, so the safety profile is covered. The description contributes the useful historical start date (19800201) and the return shape (pandas.Series of 今值 %), which is genuine added context, though it says nothing about update cadence or missing-value 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 core sentence plus the :return:/:rtype: line are front-loaded and short, but two raw CDN/datacenter URLs are pasted in that carry no decision value for an agent and dilute the otherwise tight definition.

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 parameterless single-series fetch, the description supplies scope (start date), unit (%), and return type, which is enough to call it correctly. Without an output schema it still communicates the payload, so only update frequency/coverage details are missing.

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 of 4 applies; there are no parameter semantics for the description to clarify or omit.

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 resource: the RBA (澳洲联储) interest-rate decision report, with its historical coverage (19800201-present) and returned metric (今值 %). It is separable from the US/UK/Japan rate siblings by country, but it never distinguishes itself from the near-identical sibling macro_australia_bank_rate.

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, and no pointer to the very close alternative macro_australia_bank_rate. The description only asserts what data exists, leaving selection among the many macro_bank_* siblings to inference.

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