ai_act_sandbox_regulatory_sandbox

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 63 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/ai-act-sandbox-regulatory-sandbox.md

WHAT IT DOES

What ai_act_sandbox_regulatory_sandbox does on Mcp Knowledge

AI agents call ai_act_sandbox_regulatory_sandbox to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`async`	boolean	—	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 ti
`sector`	string	—	Primary sector of application
`riskLevel`	string	Yes	Self-assessed risk level of the AI system
`intendedUse`	string	Yes	Primary and secondary use cases of the AI system
`documentation`	array	—	List of provided documentation types (e.g., 'technical', 'ethical', 'data')
`systemDescription`	string	Yes	Detailed description of the AI system including purpose, architecture, and data sources

Parameters from the server's own tool schema.

RISK

Why ai_act_sandbox_regulatory_sandbox is rated Low

This tool simulates and analyzes regulatory submissions, returning structured feedback and assessments. It reads/queries regulatory frameworks (EUR-Lex, OECD sources) and produces reports. No data is written, executed, or deleted — it is purely an analytical/advisory read operation.

From the tool's definition simulating EU AI Act regulatory sandbox submissions... Returns detailed assessment with warnings, citations, and actionable recommendations

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_act_sandbox_regulatory_sandbox safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_act_sandbox_regulatory_sandbox, this is the rule to start with:

ai_act_sandbox_regulatory_sandbox Allowed

ai_act_sandbox_regulatory_sandbox is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_act_sandbox_regulatory_sandbox": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every ai_act_sandbox_regulatory_sandbox call is checked against it from then on.

FAQ

Questions about ai_act_sandbox_regulatory_sandbox

What does the ai_act_sandbox_regulatory_sandbox tool do? +

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. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does ai_act_sandbox_regulatory_sandbox accept? +

ai_act_sandbox_regulatory_sandbox accepts 6 parameters: async, sector, riskLevel, intendedUse, documentation, systemDescription. Required: riskLevel, intendedUse, systemDescription. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ai_act_sandbox_regulatory_sandbox? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for ai_act_sandbox_regulatory_sandbox: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is ai_act_sandbox_regulatory_sandbox? +

ai_act_sandbox_regulatory_sandbox is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ai_act_sandbox_regulatory_sandbox? +

Yes. Add a rate_limit block to the ai_act_sandbox_regulatory_sandbox rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ai_act_sandbox_regulatory_sandbox completely? +

Set action: deny in the PolicyLayer policy for ai_act_sandbox_regulatory_sandbox. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ai_act_sandbox_regulatory_sandbox? +

ai_act_sandbox_regulatory_sandbox is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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