data_kitchin

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

No annotations are provided, so the description carries the full burden. It communicates that this is a read-only retrieval operation returning a JSON array, which is basic behavioral context. However, it does not disclose data source, freshness, caching behavior, or any limitations of the returned data.

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 with no filler. It states the action, the object, and the output format efficiently.

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 tool with an output schema, the description is minimally sufficient for invocation. However, in a large sibling family with data_kitchin_extended and multiple cycle tools, it does not clarify which tool is the right choice or what distinguishes this variant from similar ones.

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 and an empty input schema, so the baseline is 4. The description does not need to explain parameter semantics, and it does not introduce any misleading parameter-related information.

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 uses a specific verb ('获取' / obtain) and names the resource ('基钦周期各阶段定位数据'), and it also states the output form (JSON array). However, it does not explicitly differentiate itself from closely related siblings such as data_kitchin_extended, kitchin_cycle, or chart_kitchin_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?

There is no guidance about when to use this tool versus the many cycle-related siblings. No alternatives are mentioned, no conditions are given, and no exclusions are stated. The agent must infer usage 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.