macro_china_hk_building_volume

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the return type is pandas.DataFrame and the data comes from East Money, but it does not disclose additional behavioral traits such as data frequency, historical depth, or potential delays, which would be useful.

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, containing only the title, source URL, and return type in a few lines. It is appropriately sized for a no-parameter tool, though the inline URL adds minor clutter. The essential information is front-loaded.

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 no output schema and no parameters, the description tells the user what is returned but misses helpful context such as the data's time coverage, units, or whether it is monthly/annual. The annotations and simple nature of the tool lower the burden, but the description could still be more informative.

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 baseline is 4. The description does not need to explain parameter semantics, and the empty schema is fully documented. No omissions are present.

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 states the tool returns 香港楼宇买卖合约数量 (Hong Kong building sale/purchase contract volume) as a pandas DataFrame, with a source URL. It is specific about the resource but does not explicitly distinguish itself from the similar sibling macro_china_hk_building_amount, leaving some ambiguity.

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?

No guidance is provided on when to use this tool versus alternatives like macro_china_hk_building_amount or other macro China-HK indicators. The description only states the data source and return type, with no context on expected use cases or criteria for selection.

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