Random Poem

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the data source (jinrishici.com) and that it is public with zero credentials, which is valuable context about access and side effects. It also discloses the random-selection behavior. It does not mention potential network dependency or failure modes, but for a zero-parameter fetch tool this is a minor gap.

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?

Three short sentences, each earning its place: the core function, the intended use cases, and the data source/credential note. The primary purpose is front-loaded, and there is no redundant or filler content.

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 simple, zero-parameter, read-only tool with an output schema, the description is complete. It covers what the tool does, what the output contains, when to use it, and the external source/auth model. Nothing needed for correct invocation is missing.

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 there is no parameter semantic burden for the description to satisfy. The schema covers the parameter space completely, and the description still adds relevant output context (author, source, category). This meets the baseline for a no-parameter tool.

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-resource pairing (随机返回一句中国古典诗词) and explicitly states what the result includes: author, source, and category. The tool is clearly distinguishable from holiday/history siblings because it names a distinct domain (Chinese classical poetry) and behavior (random selection).

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 gives explicit applicable scenarios (中文创作灵感、文化问答、语文/国学类 AI 陪练), which tells an agent when this tool is relevant. It does not name exclusions or compare against alternatives, but the sibling set is topically distinct enough that no further routing guidance is necessary.

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