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Generate Landing Page

generate_landing_page

Generate a complete, self-contained HTML landing page from a product brief and brand colors. Includes responsive preview with inline CSS and vanilla JS—no external dependencies.

Instructions

Generate a complete, self-contained HTML landing page using Gemini. Returns inline preview with responsive viewport controls. No external dependencies; inline CSS and vanilla JS only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefYesDescription of the product/service and page goals
companyNameNoCompany or product name
primaryColourNoPrimary brand colour (e.g. #3B82F6 or "deep blue")
styleNoVisual design stylestartup
sectionsNoSections to include (e.g. ["hero", "features", "pricing", "cta"])
modelNoGemini model to use (defaults to configured default)
outputPathNoOptional file path to save the HTML (e.g. C:/dev/output/landing.html)
Behavior4/5

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

With no annotations, the description provides key behavioral traits: returns inline preview, responsive viewport controls, no external dependencies, inline CSS and vanilla JS. This goes beyond merely saying 'generate' but lacks details about output handling (e.g., success/error) beyond mentioning optional outputPath.

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?

Two sentences, front-loaded with the core action, and every word adds value. No redundancy or superfluous information.

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?

Given 7 parameters and no output schema, the description adequately communicates the output behavior. It could specify the exact return format (e.g., HTML string vs file) but overall covers key expectations.

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 coverage is 100%, so the baseline is 3. The description does not add significant parameter-level insights beyond what the schema already provides. The mention of 'inline preview' relates to output, not parameters.

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 uses a specific verb 'Generate' and identifies the resource as 'a complete, self-contained HTML landing page using Gemini'. It clearly distinguishes from sibling tools like generate_image or generate_svg by specifying the output type and constraints.

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 implies use for generating landing pages, which is distinct from sibling tools. However, it does not explicitly state when not to use this tool or suggest alternatives, though the context of sibling tools makes the purpose clear.

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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