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generate_image

Create and edit images from text prompts or source images with GPT Image 2.5, then save the results to disk for local workflows.

Instructions

同步生成并落盘。默认逆向五参数;官转须显式 group=official。收费,POST 不自动重试。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNo可选 auto 或 WIDTHxHEIGHT;两边为16倍数、最大3840、比例不超过3:1、总像素655360..8294400。省略时不发送。
groupNo分组声明:默认 reverse(逆向);仅用户明确使用官转时传 official。此字段不发送上游、不改变密钥后台分组。reverse
modelYesGPT Image 2.5 Sunburst 非常适合对编辑精度要求极高的应用场景;GPT Image 2.5 Flare 是目前用于生成高质量图片的最快模型。模型可以接受文本和图片作为输入,然后输出相应的图片。以上为用户提供的供应商选型说明,尚未做速度或质量对比实测。请结合用户意图选择并告知所用模型。
imagesNo
promptYes
qualityNo
output_dirNo可选绝对输出目录;默认配置目录。异步任务查询默认沿用提交目录。
official_optionsNo仅 group="official" 可用的官转扩展参数。未声明官转时传入此对象会在收费前拒绝。

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
costNo
noteNo
filesNo
groupNo
usageNo
statusYes
task_idNo
warningNo
progressNo
responseNo
next_toolNo
output_dirNo
fail_reasonNo
save_statusNo
wait_timed_outNo
download_errorsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly false, openWorld true, non-idempotent, non-destructive), and the description adds traits they do not carry: the call is billed, POST is not automatically retried, and output is persisted to disk. The retry and billing notes are operationally important for a paid, non-idempotent call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four compact clauses lead with the core operation, then routing, then cost/retry behavior — well front-loaded with no filler. The phrase "默认逆向五参数" is too compressed to decode, which is the one structural weakness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter synchronous generation tool with an output schema, the description covers sync execution, disk persistence, group routing, and billing. It omits how the sync path relates to the sibling async/batch submission tools and gives no guidance on the images input beyond the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 63%, and the schema itself richly documents size, images, model, and official_options. The description adds only the group-default rule and the fact that official_options is rejected pre-billing without group=official; "默认逆向五参数" is opaque and adds little usable meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

"同步生成并落盘" gives a specific verb (generate), a modality (synchronous), and a side effect (writes to disk), which separates it from the async submit_* siblings and from edit_image. However it never names those siblings explicitly, so the agent must infer the distinction from the word "同步" alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the routing rule for the group parameter (default reverse; official only when the user explicitly wants the official route), which is real when-to-use guidance. It does not, however, say when to pick this tool over submit_image_generation or submit_image_batch, leaving the sync-vs-async choice to inference.

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