data_kuznets

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

Because annotations are absent, the description must carry the full behavioral burden. It only states that a JSON array of stage positioning data is returned; it does not disclose whether the operation is read-only, whether the data is pre-collected/cached, or what happens when data is unavailable. This is thin disclosure for a tool with no annotation safety net.

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?

Exactly one short sentence states the action, resource, and output type with no filler. It is front-loaded and appropriately sized for a parameterless data retrieval tool.

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 output schema covers return structure, and zero parameters remove input ambiguity. However, the description omits the relationship to several sibling cycle and data tools and provides no caveat about data availability, leaving moderate context gaps for tool selection.

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 input schema has zero parameters and full coverage of that empty set, so there is no parameter ambiguity to resolve. The description reinforces what data is being requested, which is sufficient since no arguments need to be supplied.

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 specifies a concrete action (获取) and resource (库兹涅茨周期各阶段定位数据) and even states the return format (JSON array). It clearly identifies the tool as a data-retrieval operation, but it does not explicitly differentiate it from closely named siblings such as data_kuznets_extended or kuznets_cycle.

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 about when to use data_kuznets instead of data_kuznets_extended, kuznets_cycle, chart_kuznets_cycle, or cycle_collect. There is also no mention of prerequisites, such as whether cycle data must be collected or cached first, so the agent must infer usage context from the tool name alone.

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