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Componer imágenes (Nano Banana)

compose_images

Combine multiple images into a single output using a text prompt for composition, fusion, style transfer, or character consistency. Accepts local paths, data URLs, or base64 inputs.

Instructions

Combina varias imágenes en una sola según un prompt (composición, fusión, transferencia de estilo, consistencia de personaje). Cada imagen puede ser ruta local, data URL o base64.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imagesYesLista de 2 o más imágenes de entrada (rutas, data URLs o base64).
promptYesInstrucción de cómo combinar las imágenes.
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the operation and acceptable input formats (local paths, data URLs, base64), but it does not disclose output format, limitations, or potential failure modes.

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?

The description is a single, well-structured sentence that front-loads the main action and then provides supporting details about input formats. No wasted words.

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?

The tool has moderate complexity with two parameters and no output schema. The description explains the operation and use cases, but it doesn't explicitly state the return value or constraints such as maximum image count or size, leaving some gaps.

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?

The schema already provides descriptions for both parameters with 100% coverage. The description adds no new parameter semantics beyond repeating the input format information already present in the schema, so the baseline score of 3 applies.

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?

The description clearly states the specific verb 'Combina' (combines) and the resource 'varias imágenes en una sola' (multiple images into one), distinguishing it from sibling tools generate_image and edit_image which handle single-image operations.

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 for when to use this tool (multi-image composition) and enumerates specific use cases (composition, fusion, style transfer, character consistency). However, it does not explicitly mention alternatives or when not to use it.

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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