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generate_project_boilerplate

Generate a GenLayer project structure with contracts, tests, deployment scripts, and optional frontend. Choose from project types like DAO, prediction market, or DeFi.

Instructions

Generate a complete GenLayer project structure with contracts, tests, deployment scripts, and frontend integration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the project
project_typeNoType of project to generatebasic_contract
include_frontendNoInclude frontend application with GenLayerJS
frontend_frameworkNoFrontend framework (if frontend included)react
include_testsNoInclude comprehensive test suite
include_deploymentNoInclude deployment scripts and configuration
package_managerNoPackage manager to usenpm
Behavior2/5

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

No annotations provided. The description says 'generate' but does not disclose side effects (e.g., file overwriting, directory creation), required permissions, or any behavioral constraints beyond the obvious creation action.

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?

Single sentence clearly front-loaded with the tool's purpose. Concise and to the point, but could benefit from bullet points or more structure for readability given the number of parameters.

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 7 parameters and no output schema, the description is very short. It does not explain the generated project structure, how parameters interact, or expected outcomes. For a complex generation tool, more contextual details are needed.

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%; every parameter is described in the schema. The tool description adds overarching context (e.g., 'complete project structure') but does not provide additional semantic details beyond what the schema already 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?

Description clearly states it generates a complete GenLayer project structure, including contracts, tests, deployment scripts, and frontend integration. It distinguishes from sibling tools like generate_contract_template or generate_testing_framework which focus on individual components.

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?

The description implies use for starting a new project, but does not explicitly state when to use this tool versus alternatives like generate_contract_template or generate_deployment_script. No guidance on prerequisites or exclusions.

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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