juglar_cycle

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

With no annotations provided, the description carries the full burden of disclosing behavior. It only states the purpose; it does not describe what the returned stage is, how the determination is made, whether data is fetched live, or what the optional limit parameter changes. This is significant for a tool whose behavior is otherwise opaque.

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 wasted words, which is efficient. However, it is so terse that it omits necessary information about parameters and behavioral details, making it under-specified rather than optimally concise.

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?

Although an output schema exists and reduces the need to describe return values, the description still lacks explanation of the input parameter, source of the data, methodology, and relationship to sibling tools like data_juglar and chart_juglar_cycle. For a tool embedded in a large ecosystem of cycle-related tools, this is not complete enough for reliable selection and invocation.

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?

Schema description coverage is 0% and the description does not mention the 'limit' parameter at all. The parameter name gives only a weak hint that it controls a limit, but its meaning in the context of cycle-stage detection is completely unexplained, so an agent cannot infer how to set it correctly.

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 a specific verb ('判断') and resource ('当前固定资本投资周期（朱格拉周期）阶段'), so an agent understands the tool's core purpose. However, it does not explicitly distinguish itself from sibling tools such as data_juglar or chart_juglar_cycle, so it misses full differentiation.

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 related cycle tools, nor any mention of alternatives or exclusions. The word '当前' implies it reports the current stage, but this is not developed into actionable usage guidance.

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