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create_image_pro_flash

Generate native pixel-art images with optional style guidance. Runs as a background job, returning PNG, URL, and a durable source ID for reuse without extra cost.

Instructions

Generate one native pixel-art image with the Pro Flash engine, optionally guided by a style image. Runs as a background job; the completed result carries the PNG, an image_url and a durable source_image_id — keep that ID to later build a Pro Flash character or object from the same image without paying for it again (create_character_pro_flash / create_object_pro_flash). About 5 generation units; call get_pro_flash_cost for current pricing and get_pro_flash_capabilities for the exact native sizes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoRecorded seed (default 0); the Pro Flash provider does not promise deterministic output
image_sizeYesOutput size. Native sizes: 16x16 (experimental), 24x24, 32x32, 32x48, 64x64, 96x64, 96x96. Custom (Beta): 16-256 per side, both multiples of 4. Defaults to 64x64
project_idNoOptional project ID to file the result under
descriptionYesWhat to generate (max 2000 chars)
style_imageNoOptional style reference ('left-box' image) whose visual traits are copied into the result. Must fit the operation's native canvas
no_backgroundNoGenerate with transparent background
style_optionsNoWhich visual traits to copy from style_image (all default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.8.0

TDQS

A4.2/5.0
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 the background-job behavior, the key result fields (PNG, image_url, source_image_id), the durable ID benefit, approximate cost in generation units, and directs to pricing/capability tools. It does not mention polling mechanics or authentication, but the core behavioral traits are transparent.

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 sentences, front-loaded with the primary purpose, then the async/result detail, then cost and capability pointers. Every sentence carries information and none is redundant with the schema.

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?

Given the complexity (7 parameters, nested objects, no output schema), the description covers the essential operational behavior: background execution, result fields, ID reuse, cost, and size guidance. It could explicitly mention how to fetch the completed job result (e.g., get_job_status), but it is otherwise complete enough for an agent to invoke correctly.

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 all parameters thoroughly. The description adds useful context about style-image reuse and native sizes, but it does not add meaning beyond the schema for individual parameters. Baseline 3 is appropriate.

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

Purpose5/5

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

States a specific verb ('Generate'), a specific resource ('one native pixel-art image'), and the engine ('Pro Flash'). The optional style-image guidance is mentioned, and the tool is clearly distinguishable from siblings like create_image_bitforge and create_image_pixflux by name and behavior.

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

Usage Guidelines4/5

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

The description provides clear context: it is for Pro Flash native pixel-art generation, runs as a background job, and points to related tools for reusing the source image ID and checking cost/capabilities. It does not explicitly state when not to use it versus alternatives like generate_image or image_to_pixelart, but the context is sufficient for selection in most cases.

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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