spot_silver_benchmark_sge

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive nature, so the bar is lower. The description adds minimal extra context: the source URL and return type (pandas DataFrame). It does not mention permissions, rate limits, or any special behaviors, but provides a bit of practical information about the output.

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, consisting of a title, URL, and return type. Every line earns its place by providing essential information about the data source and output format. There is no redundancy or fluff, making it highly efficient.

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?

Given the simplicity of the tool (no parameters, no output schema), the description provides a clear indication that it returns historical data as a pandas DataFrame and identifies the source. It could mention the exact columns or typical usage, but for a read-only data fetch with no inputs, this is largely sufficient.

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 does not need to explain parameter semantics. The schema coverage is 100% (vacuously), and there is nothing to add. This justifies a baseline score of 4 as per the rubric for tools without parameters.

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 providing historical data for the Shanghai Gold Exchange silver benchmark price, with a source URL. It specifies the resource and the fact it returns historical data, but does not explicitly contrast with sibling tools like spot_golden_benchmark_sge or spot_quotations_sge.

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. It simply names the data source and return type, with no mention of scenarios where it is preferred or not recommended. The context of historical data is implied but not explicitly linked to similar tools.

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