suggest_range_enhancements

Enhance cyber range configurations by suggesting additional components, capabilities, and improvements to increase realism, educational value, or alignment with specific training objectives.

Instructions

Suggest enhancements to improve a range configuration.

Given a basic range description, this tool suggests additional components, capabilities, and improvements to make the range more realistic, educational, or aligned with specific training goals.

Args: current_description: The current range description or configuration intent enhancement_focus: What to focus on for enhancements Options: "comprehensive", "realism", "security", "learning", "performance"

Returns: Dictionary with: - original_config: Parsed understanding of current description - suggested_additions: New VMs, services, or capabilities to add - configuration_improvements: Better network topology, resource allocation - learning_enhancements: Additional training scenarios enabled - implementation_notes: How to implement the suggestions

Examples: # Enhance basic AD lab result = await suggest_range_enhancements( "Simple AD lab with DC and 2 workstations", enhancement_focus="comprehensive" ) # Might suggest: file server, SQL server, SIEM, attacker VM, etc.

# Make lab more realistic result = await suggest_range_enhancements( "Red team lab with AD and Kali", enhancement_focus="realism" ) # Might suggest: multiple DCs, realistic AD misconfigs, segmentation # Focus on learning value result = await suggest_range_enhancements( "Web app testing lab", enhancement_focus="learning" ) # Might suggest: vulnerable apps, varied web servers, WAF bypass scenarios

Input Schema

TableJSON Schema

Name	Required	Description	Default
`current_description`	Yes
`enhancement_focus`	No		comprehensive

Ludus FastMCP