Skip to main content
Glama

list_frontend_options

List available frontend design components, themes, templates, and advanced customization options to streamline UI design.

Instructions

List available frontend design options including advanced theme customization.

Returns all available component types, themes, templates, section types, and NEW: advanced theme factory options for deep customization.

Returns: Dict containing: - components: List of available component types (atoms, molecules, organisms) - themes: List of available theme presets with descriptions - templates: List of available page templates - sections: List of available section types for design_section - theme_factories: NEW - Advanced customization options for each theme - micro_interactions: Available interaction presets - visual_effects: Available visual effect presets - icons: Available SVG icons

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations exist, so the description bears full responsibility. It fully discloses the return structure (dictionary with fields like components, themes, etc.) and notes new features (theme_factories). It does not mention side effects or permissions, which are minimal for a read-only listing.

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 front-loaded with the main action and resource, followed by a clear bulleted list of return fields. It is slightly verbose but well-structured and every sentence adds value. Could be trimmed slightly, but overall effective.

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

Completeness5/5

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

For a tool with no parameters and no output schema, the description is comprehensively covers the return values and structure. It lists all eight fields with brief explanations, making the tool's behavior fully predictable.

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?

There are zero parameters, and the input schema is empty. Per guidelines, baseline is 4. No additional parameter information is needed, and the description does not attempt to add param details beyond what the schema provides.

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 explicitly states 'List available frontend design options' with a specific verb and resource. It includes detailed contents like component types, themes, templates, and mentions 'NEW: advanced theme factory options,' clearly distinguishing it from sibling tools that involve design actions or other listings.

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 guidance on when to use this tool versus alternatives. The purpose is clear enough that an agent can infer it should be used to retrieve design options before crafting a design, but there is no statement of prerequisites or exclusionary conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/archolet/claude-gemini-bridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server