macro_australia_bank_rate

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the data source URL and return type but does not disclose other behavioral traits such as data coverage, update frequency, or column details. With annotations present, this is adequate but minimal.

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 extremely concise and front-loaded with the source and subject. It includes the URL, return type, and description in two short lines with zero wasted words. Every sentence earns its place.

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, read-only data fetch, the description gives the essential information: source, subject, and return type. However, it lacks details about the actual data content (e.g., columns, date range) and does not differentiate from the near-identical sibling macro_bank_australia_interest_rate. With no output schema, the description should do more to explain the return value.

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 has zero parameters, and the schema has 100% coverage (empty properties). The description mentions the return type (pandas.DataFrame) but adds no parameter semantics because none exist. For zero-parameter tools, the baseline is 4, and the description provides no conflicting or missing info.

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 clearly identifies the tool as retrieving Australia's central bank interest rate decisions from East Money, including a specific URL and return type. However, it doesn't differentiate from the closely named sibling macro_bank_australia_interest_rate, so the purpose is clear but not distinguished.

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 guidance on when to use this tool versus alternatives. The description provides no context about use cases, prerequisites, or exclusions, and the sibling macro_bank_australia_interest_rate appears overlapping without clarification.

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