# ai_act_incident_response

Generates EU AI Act incident response playbooks with regulator notification templates for risk management teams. Inputs include incident severity, AI system type, and affected stakeholders. Outputs structured playbook steps, regulator notification drafts, and compliance checklists. Essential for high-risk AI system breaches requiring formal EU notification — pass async:true REQUIRED to avoid x402 timeout. Keywords: AI Act compliance, incident response, regulator notification, risk management, ISO 27035, NIST SP 800-61.

Agent View of the PolicyLayer registry record for `ai_act_incident_response`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/ai-act-incident-response

## Facts

- Tool: `ai_act_incident_response`
- Server: Mcp Knowledge (`https://mcp.gapup.io`) — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge.md
- Homepage: https://github.com/getgapup/gapup-mcp
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 6 (2 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | 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 |
| `severity` | string | yes |  |
| `incident_type` | string | yes |  |
| `ai_system_type` | string | no |  |
| `incident_description` | string | no |  |
| `affected_stakeholders` | array | no |  |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "ai_act_incident_response",
    "arguments": {
      "severity": "<severity>",
      "incident_type": "<incident_type>"
    }
  }
}
```

## Why ai_act_incident_response is rated Medium

This is a content generation tool that creates compliance documentation and playbook artifacts in response to user-provided incident parameters. While it supports risk management workflows, it remains in the Write category because it produces new structured content (drafts, checklists, playbooks) rather than executing external actions or moving money.

From the tool's own definition: "Tool generates and outputs 'regulator notification drafts' and 'structured playbook steps' and 'compliance checklists' — it creates and produces new documents/content artifacts."

## Use case

AI agents use ai_act_incident_response to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Mcp Knowledge:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_act_incident_response": {
      "limits": [
        {
          "counter": "ai_act_incident_response_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-mcp-knowledge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-mcp-knowledge