ai_act_sandbox_regulatory_sandbox
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 specificatio...
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What ai_act_sandbox_regulatory_sandbox does on Gapup Mcp
AI agents use ai_act_sandbox_regulatory_sandbox to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.
| 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.
Why ai_act_sandbox_regulatory_sandbox is rated Medium
This is primarily a Write operation because it generates structured compliance assessments, documentation recommendations, and submission feedback that can be used to create or modify regulatory filing content. It is not merely Read (which would be passive retrieval of existing regulations) nor Execute (no external system invocation).
From the tool's definition The tool accepts 'AI system descriptions, intended use cases, and technical specifications as input' and returns 'detailed assessment with warnings, citations, and actionable recommendations' that can inform regulatory submissions.
Attacks that exploit this kind of access
The rule that runs ai_act_sandbox_regulatory_sandbox safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, 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 stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every ai_act_sandbox_regulatory_sandbox call is checked against it from then on.
Questions about ai_act_sandbox_regulatory_sandbox
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 Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
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.
Register the Gapup 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 Gapup Mcp. Nothing to install.
ai_act_sandbox_regulatory_sandbox is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
ai_act_sandbox_regulatory_sandbox is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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