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Generate thumbnails

generate_thumbnails

Generates thumbnail images from a prompt with one or more models (up to 8 images per call). Waits for results and returns image URLs valid for one hour. Billed per image to the API key's account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoImages per model.
formatNoAspect ratio. 16:9 is 1920x1080 for YouTube.
modelsNoModel ids from list_models. Defaults to gpt-image-2.
promptYesWhat the thumbnail should show, including any exact text to render.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / models / items / enum
      Previous value: -[
      -  "gpt-image-2",
      -  "gpt-image-2.5-flare",
      -  "gpt-image-2.5-sunburst",
      -  "nano-banana-pro",
      -  "nano-banana-2",
      -  "flux-2-max",
      -  "seedream-5-lite",
      -  "ideogram-v4",
      -  "grok-imagine"
      -]New value: +[
      +  "gpt-image-2",
      +  "gpt-image-2.5-flare",
      +  "gpt-image-2.5-sunburst",
      +  "nano-banana-pro",
      +  "nano-banana-2.1",
      +  "flux-2-max",
      +  "seedream-5-lite",
      +  "ideogram-v4",
      +  "grok-imagine"
      +]
  2. Changed1 schema field changed
    • changedInput schema / properties / models / items / enum
      Previous value: -[
      -  "gpt-image-2",
      -  "gpt-image-2.5-flare",
      -  "nano-banana-pro",
      -  "nano-banana-2",
      -  "flux-2-max",
      -  "seedream-5-lite",
      -  "ideogram-v4",
      -  "grok-imagine"
      -]New value: +[
      +  "gpt-image-2",
      +  "gpt-image-2.5-flare",
      +  "gpt-image-2.5-sunburst",
      +  "nano-banana-pro",
      +  "nano-banana-2",
      +  "flux-2-max",
      +  "seedream-5-lite",
      +  "ideogram-v4",
      +  "grok-imagine"
      +]
  3. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses synchronous waiting, that returned URLs expire after one hour, and that usage is billed per image to the API key's account. It omits error/failure behavior and any per-model caveats, which keeps it short of a 5.

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

Conciseness5/5

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

Three tight sentences, front-loaded with the action and resource, then behavior, then cost. Every sentence adds distinct information with no filler.

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

Completeness4/5

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

For a 4-parameter generation tool with no output schema and no annotations, the description covers the essentials: synchronous behavior, result lifetime, and billing. It is close to complete but leaves error handling and the actual per-call image ceiling (whose stated value conflicts with the schema limits) unresolved.

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 100%, so the schema already documents prompt, n, format, and models, making 3 the baseline. The description's "up to 8 images per call" adds a call-level cap, but that figure sits oddly against a schema allowing 4 images per model and up to 4 models, so it introduces as much ambiguity as clarity.

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?

States a specific verb and resource ("Generates thumbnail images from a prompt") plus scope (one or more models, image count). It implicitly contrasts with get_generation via "Waits for results," implying a synchronous call rather than a fetch-by-id, but never names the sibling to make the distinction explicit.

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

Usage Guidelines2/5

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

There is no when-to-use, when-not-to-use, or alternative routing. An agent cannot tell from this description whether to call it directly or to list_models first, nor how this relates to get_generation and account_usage.

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

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