Thông tin dataset HTS đang phục vụ

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

No annotations are provided, so the description carries the transparency burden. It discloses what data is exposed (download date, source, license, row count) but does not explicitly confirm it is read-only, describe the response format, or mention any caching behavior.

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 a single, front-loaded sentence that states the key information fields and the primary purpose. Every word earns its place and there is no unnecessary filler.

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 zero-parameter, read-oriented info tool, the description is sufficient: it names the dataset, the useful metadata fields, and the intended use case. No output schema exists, but the description covers the essential expected content.

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 baseline 4 applies. The description adds semantic value by clarifying what dataset information the tool exposes, even though there are no input parameters to document.

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?

Description clearly identifies the tool as supplying metadata about the HTS dataset (load date, source, license, row count). It is distinguishable from sibling tools like search_hs_candidates and calculate_tariff_scenario, though it relies on the title rather than an explicit verb for the action.

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 explicitly states the tool is used to check data freshness: 'dùng để kiểm tra độ tươi của dữ liệu.' It gives a clear context for when to use it but does not mention when not to use it or name alternatives.

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