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

Goes well past the annotations (readOnly/openWorld/idempotent) by disclosing cost (4 credits), latency (10-30 s), the free-on-failure policy, and the specific upstream_timeout retry contract with its 10-minute window. It also states the request is made as a logged-out user, which materially affects what the agent should expect in the answer.

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?

Three compact sentences that front-load what the tool does and then add use case, cost and retry behavior, with no filler. The parenthetical stack in the first sentence is dense and slightly harder to parse than it needs to be, but nothing is redundant.

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?

There is no output schema, and the description compensates by describing the return content (Markdown answer, cited sources, products and places). Cost, timing, failure handling and retry are all covered, so an agent has everything needed to call it and interpret a failure.

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 100%, so prompt, country, web_search and track are already documented in the schema, and the description adds only marginal framing (returned sources/products map loosely to track). Nothing new about parameter formats or defaults is contributed beyond the structured fields, so the baseline 3 applies.

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 and resource ('Ask ChatGPT ... and get its answer') and pins down the exact configuration: chatgpt.com, logged-out user, web search. It also declares the return shape (Markdown answer plus cited sources, products and places), which is enough to distinguish it from siblings like gemini, copilot and ai_mode without opening a schema.

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?

Gives a clear use case ('For AI visibility: what ChatGPT tells people') and practical invocation guidance for the failure path (retry with identical arguments within 10 minutes on upstream_timeout). It never states when to prefer a sibling such as gemini or copilot instead, so the alternative-selection guidance is incomplete.

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