GPT Image 2 Temporary

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

With no annotations, the description carries full burden. It discloses 'sends only conservative fields by default' and allows per-call api_key/base_url/model/timeout, which are key behaviors. However, it omits many behavioral traits: auth requirements (api_key explained minimally), rate limits, idempotency, error behaviors, or what happens with unsent fields. Adds some value but not comprehensive.

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 sentences, 18 words, front-loaded with tool identity. Each sentence adds distinct value (compatibility + per-call config + default behavior). Could be more structured (e.g., bullet points for complex config), but overall concise and clear.

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?

Despite having an output schema (unknown content), the description is very brief for a 17-parameter tool with 0% schema description. It covers only a fraction of the tool's functionality, lacking details on return values, error handling, or parameter relationships. Incomplete for the complexity.

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 description must compensate. It mentions api_key, base_url, model, timeout as configurable, and hints at conservative defaults via send_* flags, but fails to explain most parameters: prompt, save_path, aspect_ratio, image_size, quality, output_format, background, moderation, and the boolean toggles. Insufficient for 17 parameters.

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 it's an 'OpenAI Images-compatible exploration tool', indicating image generation via OpenAI API. 'Temporary' hints at its experimental nature, distinguishing it implicitly from sibling 'gpt_image_2_official'. However, the verb is implied rather than explicit (e.g., 'generates images').

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 labels it as 'temporary' and 'exploration tool', suggesting use for testing over production, but does not explicitly contrast with sibling tools or provide when-to-use/when-not-to-use guidance. No alternatives are mentioned.

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