chatgpt_get_latest_response

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

未提供任何注解,描述承担全部行为披露责任。第二句披露了一个有用的行为特征(默认不为状态展示额外展开高级菜单),表明该工具避免触发多余 UI 操作。但未说明无会话时的失败行为、是否绝对只读、是否会等待新回复等情况。有披露但覆盖不完整。

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?

两句简短描述,核心目的前置在第一句,第二句补充关键默认行为,无冗余内容。结构紧凑且信息密度合理。

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?

工具本身简单(1 个可选参数,无输出 schema),描述覆盖了主要功能和一项默认行为。但由于没有输出 schema,描述未说明返回值的具体形态;也未提及前置条件(需要存在活动会话)以及与发送类工具的时序关系。对简单只读工具而言基本够用,但仍有明显信息缺口。

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 描述覆盖率为 100%,includeSettings 参数已有清晰说明,基线为 3。描述第二句补充了默认行为与参数的关系(includeSettings=false 时不展开高级菜单),与 schema 描述形成互补,但没有超出 schema 的新语义。

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?

描述使用了明确的动词(读取)和资源(当前对话最近一条完整回复和对话状态),能清楚区别于 send/submit/write 类工具如 chatgpt_send_message 和 chatgpt_submit_prompt。不过'对话状态'这一部分与同级工具 chatgpt_status 存在潜在重叠,描述未做区分,因此扣一分。

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?

描述完全没有提供何时使用本工具以及何时改用其他工具的指引。没有提到应在 chatgpt_send_message 之后调用,也没有说明与 chatgpt_status 或 chatgpt_search_history 的取舍条件。第二句只是在描述默认行为,不构成使用场景说明。

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