macro_global_sox_index

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to restate safety. It adds the return type (pandas.DataFrame) and a source URL, which are useful. However, it does not disclose other behavioral traits such as data frequency, time range, or whether the data is historical or real-time. With good annotation coverage, this is acceptable but not rich.

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 the index name, a URL, and a docstring. There is no fluff or redundancy beyond the repeated name, but the raw URL adds a practical source reference. The structure is reasonably clean, though it could be more readable if the URL were presented as a label.

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 simple no-parameter read-only tool, this description is minimally viable. It names the index and its source, and specifies the return type. However, it does not clarify whether the returned DataFrame contains historical time series or just a current snapshot, nor does it describe the columns or time span. Given no output schema exists, the description should provide more detail about the data structure to fully inform the agent.

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 no parameter semantics to explain. The description correctly indicates the return type (DataFrame), which is the only relevant semantic. The schema is empty, so the description adds value by stating the return structure.

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 as the Philadelphia Semiconductor Index (费城半导体指数) and provides a data source URL. While it lacks an explicit action verb like 'get' or 'return', the docstring ':return: 费城半导体指数' and the tool name make it evident that the tool returns this index data. It distinguishes itself from siblings by being specifically for the SOX index, but the phrasing is minimal and relies on the name/context.

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 gives no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or scenarios where this index would be preferred over other macro/index tools. The agent is left to infer usage solely from the name and description.

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