GoAI Moat AI Content Studio

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.

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

The description discloses important behavioral traits: DeepSeek only processes content, does not fabricate data when signals are missing, and requires human verification before publication. These are valuable beyond what annotations provide (none provided). It could be improved by mentioning output format or length, but the key behavioral constraints are well covered.

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 concise and well-structured. It front-loads the core purpose, then provides essential behavioral notes in a compact format. Every sentence adds value, and the structure is easy to parse.

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?

Given the tool's moderate complexity (3 params, 1 required, output schema exists), the description is fairly complete. It covers the tool's purpose, input requirements, behavioral constraints, and human verification need. The only minor gap is not describing the output structure in detail, but the output schema likely covers that.

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 schema already documents all three parameters. The description adds context about the signals parameter (should be verified, if empty only framework is generated) which aligns with the schema's description. However, it doesn't add much beyond what the schema already states, so a baseline 3 is appropriate.

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 the tool's purpose: generating a weekly brief draft on the theme of '出海 × AI' with three specific sections (本期焦点 + 本周信号 + 行动清单). It uses a specific verb ('draft') and resource ('weekly brief'), and the structure distinguishes it from sibling tools like draft_outreach_email 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 provides clear context on when to use the tool: when generating a weekly brief draft. It also gives guidance on input requirements (signals should be verified) and what happens if signals are not provided (only framework generated). However, it doesn't explicitly mention when NOT to use it or name alternatives, though the sibling tools are clearly different in purpose.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds a valuable behavioral trait—preserving brand names and terminology consistency—which goes beyond the mere act of translating. However, it does not disclose other relevant behaviors such as output format, error handling, or any limitations (e.g., handling of code or HTML). It provides some context but is not comprehensive.

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, concise sentence that front-loads the primary purpose (bidirectional translation) and immediately adds the key differentiator (overseas context and brand/terminology preservation). There is zero redundancy, and every word contributes to clarity. It is appropriately sized for a tool of this simplicity.

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?

Given the tool has a straightforward two-parameter schema and an output schema (though not shown), the description covers the core function and a key contextual nuance. However, it omits details such as how the direction is specified (though that is in the schema), any prerequisites or constraints, and whether there are any special handling rules for mixed-language text. For a simple translation tool, it is adequate but not exhaustive, leaving room for more context.

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 input schema already describes all parameters with 100% coverage (text and to_lang with default and allowed values). The description does not add any additional meaning beyond what the schema provides, such as examples or nuances about parameter usage. Per the baseline for high schema coverage, the description is not required to repeat parameter details, so a score of 3 is appropriate.

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 clear, specific operation: bidirectional Chinese-English translation tailored for overseas scenarios, with an explicit emphasis on preserving brand names and terminology. This is a specific verb (translate) applied to a well-defined resource (text), and it clearly differentiates the tool from sibling tools (draft_outreach_email, draft_weekly_brief) which are unrelated drafting actions.

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 provides context that the tool is intended for overseas scenarios, which implies a use case, but it does not explicitly state when to use this tool versus alternatives, nor when not to use it. It neither names sibling tools nor mentions any exclusions. The guidance is implicit rather than explicit, so it meets a basic level but lacks direct routing.

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