macro_china_foreign_exchange_gold

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

Annotations already establish this as read-only, idempotent, and non-destructive. The description adds minimal behavioral context beyond a source URL and return type; it does not disclose data granularity, time range, or other traits. 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 very short and to the point, with no redundant language. It includes the title, source URL, and return type in a compact format, but it is perhaps too sparse to be considered well-rounded.

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?

The description is incomplete for a tool with no output schema. It does not describe the columns of the DataFrame, the frequency of data, or the time period covered. The agent only knows the return type and the general topic, which is insufficient for fully understanding the output.

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 there is nothing to explain. The baseline of 4 applies, and the description does not need to compensate for parameter ambiguity.

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 resource (central bank gold and foreign exchange reserves) and states the return type, making it clear the tool returns this data. However, it lacks a specific verb like 'get' or 'fetch', and it doesn't explicitly differentiate from sibling macro tools beyond naming the resource.

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, no mention of context, and no exclusions or alternatives listed. The description only provides a data source URL and return type, offering no decision support.

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