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 implies a read-only operation (checking status) but doesn't disclose behavioral traits such as whether it requires prior login, potential rate limits, error handling, or what specific information is returned. The mention of headless mode adds some context but is insufficient for a mutation-sensitive tool.

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 appropriately sized and front-loaded with the main purpose first, followed by parameter and return sections. It avoids unnecessary verbosity, though the structure could be slightly improved by integrating parameter notes more seamlessly.

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 (2 parameters, no annotations), the description is somewhat complete but has gaps. It covers the purpose and parameters but lacks usage guidelines and detailed behavioral context. The presence of an output schema reduces the need to explain return values, but more context on tool interaction is needed.

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%, so the description must compensate. It adds meaning for both parameters: 'headless' is explained as whether to use headless mode with a default and usage note, and 'chrome_path' is noted as optional. However, it doesn't fully detail parameter constraints or examples, leaving gaps.

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 as '检查小红书登录状态' (check Xiaohongshu login status), which is a specific verb+resource combination. However, it doesn't explicitly distinguish this from sibling tools like 'xiaohongshu_login' (which likely performs login) or 'xiaohongshu_publish' (which likely publishes content), though the function is reasonably distinct by name.

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 no guidance on when to use this tool versus alternatives like 'xiaohongshu_login' for logging in or 'xiaohongshu_publish' for publishing. It mentions that headless mode can be used for status checks, but this is more of a parameter hint than usage context.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions logging in and implies browser automation (via headless mode and Chrome path), but lacks critical details: what authentication method is used (e.g., QR code scanning as hinted, password input), whether it requires user interaction, potential side effects (e.g., session creation, cookies), error handling, or rate limits. This is a significant gap for a login tool with zero annotation coverage.

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 appropriately sized and front-loaded with the main purpose first, followed by parameter details. It uses minimal sentences that earn their place by explaining the tool and parameters. However, the structure could be slightly improved by integrating the parameter explanations more seamlessly, but it remains efficient with zero waste.

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 complexity (login operation with browser automation), no annotations, and an output schema exists (implied by 'Returns: 登录结果消息'), the description is partially complete. It covers the basic purpose and parameters but lacks behavioral context (e.g., how login works, session management) and doesn't leverage the output schema to explain return values. For a tool with 2 parameters and no annotations, it should do more to be fully helpful.

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%, so the description must compensate. It adds meaning for both parameters: 'headless' is explained as controlling headless mode with a default and suggestion, and 'chrome_path' as an optional Chrome executable path. However, it doesn't cover parameter interactions (e.g., if headless=true affects chrome_path usage) or provide examples, leaving some ambiguity. With 2 parameters partially documented, this meets the baseline for low coverage.

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 as '登录小红书账号' (login to Xiaohongshu account), which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'xiaohongshu_check_status' (which likely checks login status) or 'xiaohongshu_publish' (which likely posts content), though the login function is reasonably distinct by nature.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether an account is needed), when to use it relative to siblings (e.g., login before publishing), or any exclusions. The only contextual note is a suggestion for headless mode, which is parameter-specific, not usage guidance.

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 mentions the tool publishes content and suggests using interface mode for observation, but lacks critical behavioral details: authentication requirements, error handling, rate limits, whether it's idempotent, or what happens on failure. The description doesn't contradict annotations (none exist), but provides minimal behavioral context for a publishing operation.

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 well-structured with clear sections for Args and Returns, and each sentence adds value. The Chinese text is concise and to the point. However, the single-line purpose statement could be slightly more descriptive, and the parameter explanations could be more efficiently integrated rather than listed separately.

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 content publishing tool with 5 parameters, 0% schema coverage, no annotations, but with an output schema, the description provides basic operational context but lacks important details. The output schema handles return values, but the description doesn't cover authentication requirements, error conditions, or how this tool relates to its siblings. It's minimally adequate but has clear gaps for a publishing operation.

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?

With 0% schema description coverage, the description adds meaningful parameter context: it clarifies that 'title' is required and has a 40-character limit, 'content' and 'image_paths' are required, image formats supported, and provides guidance on 'headless' mode. However, it doesn't fully compensate for the schema gap - 'chrome_path' gets minimal explanation, and there's no detail on parameter interactions or validation rules beyond basic requirements.

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 as '发布小红书内容' (publish Xiaohongshu content), which is a specific verb+resource combination. It distinguishes itself from sibling tools like 'xiaohongshu_check_status' and 'xiaohongshu_login' by focusing on content publishing rather than status checking or authentication. However, it doesn't explicitly mention how it differs from those siblings beyond the basic function.

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 no guidance on when to use this tool versus its siblings. While it mentions '建议使用有界面模式观察发布过程' (suggest using interface mode to observe the publishing process), this is a technical implementation detail rather than usage context. There's no mention of prerequisites (e.g., whether login is required first) or alternatives for different publishing scenarios.

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