ai_act_incident_response

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Medium RISK CLASS

Category Write

Parameters 62 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What ai_act_incident_response does on Mcp Knowledge

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.

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.

RISK

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 definition Tool generates and outputs 'regulator notification drafts' and 'structured playbook steps' and 'compliance checklists' — it creates and produces new documents/content artifacts.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_act_incident_response 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_incident_response, this is the rule to start with:

ai_act_incident_response Rate-limited

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.

View as policy code

policy.json

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

LIMIT 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_incident_response call is checked against it from then on.

FAQ

Questions about ai_act_incident_response

What does the ai_act_incident_response tool do? +

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 Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does ai_act_incident_response accept? +

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.

How do I enforce a policy on ai_act_incident_response? +

Register the Mcp Knowledge 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 Mcp Knowledge. Nothing to install.

What risk level is ai_act_incident_response? +

ai_act_incident_response is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ai_act_incident_response? +

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.

How do I block ai_act_incident_response completely? +

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.

What MCP server provides ai_act_incident_response? +

ai_act_incident_response 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.

KEEP EXPLORING

More on Mcp Knowledge, and thousands of servers like it.

This server

All 271 Mcp Knowledge tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →