ai_act_sandbox_regulatory_sandbox
ActiveTool of @gapup/mcp-knowledge
declared in 0.2.0
A legal-focused tool for simulating EU AI Act regulatory sandbox submissions. Provides structured feedback on compliance, risk levels, and required documentation based on EUR-Lex and OECD AI Policy Observatory sources. Accepts AI system descriptions, intended use cases, and technical specifications as input. Returns detailed assessment with warnings, citations, and actionable recommendations for legal teams and AI developers.
Parameters schema
{
"type": "object",
"required": [
"systemDescription",
"intendedUse",
"riskLevel"
],
"properties": {
"async": {
"type": "boolean",
"description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
},
"sector": {
"enum": [
"healthcare",
"finance",
"transport",
"education",
"public",
"other"
],
"type": "string",
"description": "Primary sector of application"
},
"riskLevel": {
"enum": [
"minimal",
"limited",
"high",
"unacceptable"
],
"type": "string",
"description": "Self-assessed risk level of the AI system"
},
"intendedUse": {
"type": "string",
"description": "Primary and secondary use cases of the AI system"
},
"documentation": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of provided documentation types (e.g., 'technical', 'ethical', 'data')"
},
"systemDescription": {
"type": "string",
"description": "Detailed description of the AI system including purpose, architecture, and data sources"
}
}
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
@gapup/mcp-knowledge
https://github.com/getgapup/gapup-mcp
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