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

Annotations already declare destructiveHint=true, openWorldHint=true and non-idempotent, so the safety profile is partly covered. The description adds that this is a task-submission tool (Builder task), but does not explain what makes it destructive, cost/rate behavior, or that results must be retrieved asynchronously - gaps given the destructive flag.

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 first sentence is heavy keyword stuffing (a string of comma-separated 'ChatGPT 答案/回答内容/回答文本/引用来源链接' variants) that does not earn its length. The substantive purpose only appears in the second sentence, so the definition is not well 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?

For a task-submission tool with four params, no output schema and a destructive annotation, the description explains modes but omits what happens after submission - e.g. that the task is queued and results are fetched via scraper_task_status/scraper_task_result. Adequate but incomplete.

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 coverage is 100%, so the schema already documents spider_id, chatgpt_url, search_terms and file_name, including which mode each maps to. The description mostly restates that same mode-to-parameter mapping, adding little beyond the schema.

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 gives a concrete verb+resource: it submits a ChatGPT-answer collection Builder task and names the two supported modes (chatgpt_answer_by-keywords, chatgpt_answer_by-url). It is distinguishable from siblings like google_ai_mode, though it never explicitly contrasts them.

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 opening trigger clause sets clear context for when to invoke (user wants ChatGPT answers/citation links/model version combined with collect/scrape/extract verbs), and it routes between the keyword vs URL modes. It offers no explicit when-not-to-use or sibling alternatives.

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