chatgpt_set_temporary

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 goes beyond the basic action by stating page-state verification ('通过页面状态进行校验') and the potential side effect of opening a new chat ('切换可能会打开一个新对话'). These are useful behavioral insights not available from the schema or annotations, though it could further clarify failure modes or prerequisites.

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 two concise sentences in Chinese. The first sentence states the main purpose, and the second adds a relevant side effect. No wasted words, and the key information is front-loaded. It is appropriately sized for a simple boolean-setting tool.

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 simple toggle tool, the description covers the essential aspects: the action, scope (new conversations), verification method, and side effect. It does not mention what happens if the mode is already in the desired state or whether any permissions are required, but these are less critical given the tool's simplicity. Overall, it is sufficiently complete for an agent to invoke it correctly.

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 schema has a single boolean 'enabled' with zero description coverage. The description compensates by explaining the meaning of the parameter: 'enabled' toggles the temporary mode on/off (开启或关闭). While it doesn't explicitly map true/false to on/off, the language strongly implies that true = on and false = off, providing the necessary semantic context for the parameter.

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 function: 'Turn on or off temporary chat mode for new conversations' (开启或关闭新对话的临时对话模式). This specifies the exact resource (temporary chat mode) and the action (turn on/off), and the addition of 'for new conversations' clarifies scope, distinguishing it from generic mode selectors like chatgpt_select_mode.

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 implies usage context for toggling temporary mode on new chats and notes that it may open a new conversation. However, it does not explicitly mention when to prefer this over sibling tools such as chatgpt_select_mode or chatgpt_list_modes, nor provide exclusion criteria. The guidance is implicit rather than explicit.

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