openai_generate_image

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

With no annotations, the description carries the full disclosure burden and largely drops it. It does not say the call is a billable write/side-effecting operation, that output is likely written to disk (implied only by the filename_prefix parameter), how moderation behaves, or what happens with multi-frame GIF generation.

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?

A single compact sentence with the core action front-loaded and no filler. It is tight, though its brevity is partly under-specification rather than true efficiency.

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 14-parameter generation tool with zero schema descriptions and no annotations, the description is far too thin. The existence of an output schema excuses it from explaining returns, but it leaves model selection, image options, and GIF mechanics entirely undocumented.

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%, so the description must compensate for 14 bare parameters, and it only gestures at three of them: 'complexity', frame count, and frame duration via 'GIF frame controls'. Parameters like size, quality, moderation, background, output_compression, safety_identifier, and n receive no explanation in either the schema or the description.

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 ('Generate images with GPT Image 2.x'), which an agent can distinguish from the sibling openai_edit_image. The qualifiers about '2.6 complexity' and 'GIF frame controls' hint at capabilities but are cryptic rather than precise about scope.

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?

No when-to-use guidance is given: nothing says when to pick this over openai_edit_image, what a valid model value looks like, or whether the prompt must be self-contained. The only inference available is that generating implies new images rather than editing existing ones.

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