chatgpt_ai_insights

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the bar is lower. The description still adds value by disclosing the shape of the response (answer text, citations, recommendations, markdown), which is important given there is no output schema. It does not mention latency, cost, or rate limits on an open-world call.

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 tight sentences, front-loaded with the core action before the return details and use case. No filler, though the trailing 'Useful for GEO and LLM as a judge' is loose jargon that adds limited precision.

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?

With no output schema, the description appropriately covers return content, and annotations cover safety. What is missing is the critical routing context: how this differs from perplexity_ai_insights and any prompt-format expectations for the sole parameter.

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% for the single 'prompt' parameter. The description implies you supply a prompt ('Send a prompt to ChatGPT'), which conveys the parameter's meaning, but gives no guidance on format, length, or content constraints. Partial compensation, not full.

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?

States a specific verb+resource ('Send a prompt to ChatGPT and get back AI-generated insights') and names the return content, so the purpose is clear. It does not, however, differentiate itself from the near-identical sibling perplexity_ai_insights, leaving the agent to guess which model-backed insight tool to pick.

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?

'Useful for GEO and LLM as a judge' hints at intended use cases, so usage is implied rather than absent. But there is no when-to-use/when-not guidance and no mention of the obvious alternative perplexity_ai_insights, forcing the agent to infer the choice.

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