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 ...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/ai-act-incident-response.md
What ai_act_incident_response does on Gapup Mcp
AI agents use ai_act_incident_response 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 |
severity | string | Yes | |
incident_type | string | Yes | |
ai_system_type | string | — | |
incident_description | string | — | |
affected_stakeholders | array | — |
Parameters from the server's own tool schema.
Why ai_act_incident_response is rated Medium
This tool creates and generates formal incident response documentation and regulator notification drafts—reversible outputs that are written/composed rather than executed or destructive. While the documents themselves are compliance-critical, the tool does not execute regulatory filings, trigger external notifications autonomously, or modify existing data irreversibly.
From the tool's definition Generates... regulator notification templates, regulator notification drafts, and compliance checklists; creates structured playbook steps for incident response management.
Attacks that exploit this kind of access
The rule that runs ai_act_incident_response 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_incident_response, this is the rule to start with:
ai_act_incident_response 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_incident_response call is checked against it from then on.
Questions about 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. 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_incident_response accepts 6 parameters: async, severity, incident_type, ai_system_type, incident_description, affected_stakeholders. Required: severity, incident_type. 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_incident_response: 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_incident_response 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_incident_response 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_incident_response. 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_incident_response 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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