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

With no annotations, the description carries the disclosure burden. It makes clear the tool returns a guide, not an actual backtest execution, and describes the scope of the content. It does not mention output format or whether links are returned, but there are no hidden side effects or contradictions.

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, efficient sentence that front-loads the resource name and then covers content, intended use cases, and free-trial access without filler. Every clause adds useful information.

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 parameterless informational tool, this is complete enough: it states what is returned, what topics are covered, and which user questions it addresses. The only minor omission is the exact return format, which is not critical for a quick-start guide.

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 the schema is empty, so there is no parameter meaning to add. The baseline of 4 applies because no parameter documentation is needed.

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?

States a specific verb and resource: '取得 FinLab 快速上手指南', and describes the guide's contents (AI-assisted installation, first Taiwan-stock backtest, free online trial). It clearly identifies the tool's role among siblings, though it does not explicitly contrast with sibling tool names.

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?

Explicitly states when to use it by listing target questions: '怎麼開始用 FinLab' and '怎麼回測台股'. It does not provide exclusions or name alternatives, but for a parameterless quick-start guide the guidance is clear and sufficient.

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