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Riti0208

Nano Banana MCP Server

by Riti0208

batch_generate

Generate multiple images from an array of prompts in one request, with controls for model, resolution, aspect ratio, and parallel processing.

Instructions

Generate multiple images from an array of prompts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel to use: gemini-3.1-flash-image-preview (Nano Banana 2, recommended) or gemini-3-pro-image-preview (Nano Banana Pro)
configNoAdvanced generation configuration
promptsYesArray of prompts to generate images for
parallelNoProcess prompts in parallel (default: false)
outputDirNoDirectory to save the generated images
resolutionNoOutput resolution: 0.5K (512px, 3.1 Flash only), 1K (default), 2K, or 4K
aspectRatioNoAspect ratio for the generated images (optional)
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It only restates the basic purpose and does not mention side effects (e.g., saving images to outputDir), parallel execution behavior, or output format. This is a significant transparency gap.

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, focused sentence with no redundant wording. It is well-structured and front-loaded with the core function.

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

Completeness2/5

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

Despite full schema coverage, the tool has 7 parameters including a nested config object, and no output schema. The description does not clarify expected return values, how config works, or default behaviors (e.g., resolution, parallelism). It is incomplete for a tool of this complexity.

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 all parameters have descriptive text in the schema. The description adds little beyond what the schema already provides, except reinforcing that images are generated from an array of prompts. 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?

The description clearly states the action ('Generate') and the resource ('multiple images from an array of prompts'), which distinguishes it from sibling tools like generate_image (single) and edit_image. It is specific and unambiguous.

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?

Usage is implied by the name and description: for batch generation when you have multiple prompts. However, there is no explicit mention of when to use this over alternatives, nor any exclusions or prerequisites. No sibling tool is referenced.

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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