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Jolyland

Nano Banana Pro AI MCP Server

by Jolyland

list_styles

Returns the canonical list of image-generation styles and presets. Use this to see all available options for image-generation workflows.

Instructions

Return the canonical list of image-generation styles or presets the site exposes. (Nano Banana Pro AI)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates a read operation by using 'Return', but does not disclose behavior like whether the list is static, locale-dependent, or requires authentication. For a simple list tool this is acceptable but not fully 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?

The description is a single, concise sentence that immediately conveys the tool's purpose. No wasted words or redundancy.

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?

The tool is very simple (no parameters, no output schema). The description tells the agent it returns a list of styles/presets, which is sufficient for this scope. It could mention the return format, but not necessary for a list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the input schema trivially covers everything. The description adds no parameter-specific details, but none are needed. Baseline 4 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 tool's function with a specific verb ('Return') and resource ('canonical list of image-generation styles or presets'). It distinguishes itself from siblings by focusing on styles/presets rather than pricing or links.

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 purpose implies when to use it (when you need the list of styles/presets). It does not explicitly discuss alternatives or exclusions, but the sibling tools are clearly unrelated, so the context is sufficient.

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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