macro_swiss_gbd_bank_rate

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety characteristics. The description adds that it returns a pandas DataFrame of central bank interest rate decisions, which is useful. However, it doesn't disclose any additional behavioral constraints or limitations.

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 concise, consisting of a title, a source URL, and return information. It is front-loaded with the purpose. The URL may be of limited use to an AI agent, but the overall structure is efficient and not overly verbose.

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 tool with no output schema, the description adequately specifies the output content (central bank interest rate decisions) and format (pandas DataFrame). It provides enough context for basic invocation, though it could mention data granularity or historical range.

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, so the description doesn't need to explain input semantics. This is a simple retrieval tool with no inputs, and the schema already reflects this with 100% coverage.

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 Switzerland's central bank interest rate decisions from East Money data, using a specific title. However, it does not explicitly differentiate from sibling tools like macro_bank_switzerland_interest_rate, which likely serves a similar purpose.

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?

The description provides no guidance on when to use this tool versus similar Swiss macro indicators. It only gives a title and return type, without any context about selection criteria or alternatives.

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