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gemini_image_prompt_tool

Turn your image idea into a detailed prompt. Provide a description, mood, and style to receive a tailored prompt for image generation.

Instructions

Help craft an effective image generation prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moodNoDesired mood or atmosphere.
modelNoModel to use for prompt crafting.flash
styleNoDesired art style (photorealistic, cartoon, watercolor, etc).
descriptionYesWhat you want the image to show.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full behavioral burden. It reveals nothing about how the tool operates—whether it asks follow-up questions, returns a refined prompt, or modifies its output based on the 'model' parameter. 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.

Conciseness4/5

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

The description is a single seven-word sentence, extremely concise and front-loaded. It earns its place but is under-specified; however, conciseness is strong compared to verbose alternatives.

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?

Although the tool has an output schema, the description is incomplete for an agent to confidently select it. It lacks guidance on return format, when to use relative to sibling tools, and any behavioral expectations, making it insufficient for a tool without annotations.

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?

All four parameters have descriptions in the input schema (100% coverage), so baseline is 3. The description adds no extra parameter semantics, but the schema already documents the meaning of description, mood, style, and model adequately.

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?

Description clearly states it 'crafts an effective image generation prompt,' using a specific verb and resource. This distinguishes it from sibling tools like gemini_generate_image_tool, which actually generate images, and make the tool's purpose 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?

No explicit when-to-use or alternative recommendations are provided. The description implies this tool is for crafting prompts before image generation, but it doesn't explain when to choose it over gemini_brainstorm_tool or when not to use it, leaving usage guidance implied.

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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