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 discloses the output is a draft, the tone, and the approach (competitor intel value over hard selling), but it does not explicitly state that no emails are sent or that it relies only on provided context. For a non-destructive generation tool this is adequate, though not rich.

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?

Two sentences with no wasted words. The first sentence states the verb and object, the second gives the use case and tone. Every clause earns its place and the key information is front-loaded.

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?

An output schema exists, so return values are covered. The description covers the main purpose, use case, and style, and the 4 parameters are fully documented in the schema. Completeness is high for a simple generation tool; only minor behavioral details are 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?

Schema description coverage is 100%, so the baseline is 3. The description adds stylistic hints (点名道姓, 不群发, 竞对情报) that loosely relate to contact_name and context, but it does not provide specific parameter semantics beyond what the schema already documents.

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 states a specific verb and resource: '生成一封定制 B2B 触达邮件初稿' (generate a customized B2B outreach email draft). It also adds differentiating context by mentioning the exact use case and style, clearly distinguishing it from siblings like draft_weekly_brief and translate.

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 explicitly states when to use it: '用于路径三获客（传统制造/贸易企业 AI 落地）' (for path three customer acquisition in traditional manufacturing/trading enterprises). This gives clear context but does not mention exclusions or alternative tools, so it falls short of a 5.

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