# safety_violation_incident_logger

Logs AI safety violations for compliance reporting, targeting risk management personas. Accepts incident details such as violation type, severity, description, and timestamp. Returns structured data with compliance categorization based on NIST AI RMF guidelines. Ideal for automated incident tracking and regulatory reporting workflows.

Agent View of the PolicyLayer registry record for `safety_violation_incident_logger`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/safety-violation-incident-logger

## Facts

- Tool: `safety_violation_incident_logger`
- 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 (4 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 |
| `metadata` | object | no |  |
| `severity` | string | yes |  |
| `timestamp` | string | yes |  |
| `description` | string | yes |  |
| `violationType` | string | yes |  |

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": "safety_violation_incident_logger",
    "arguments": {
      "severity": "<severity>",
      "timestamp": "<timestamp>",
      "description": "<description>",
      "violationType": "<violationType>"
    }
  }
}
```

## Why safety_violation_incident_logger is rated Medium

This tool writes/creates incident records in a compliance logging system. While it documents safety issues (beneficial intent), it modifies a compliance database irreversibly by adding new incident entries. This is Write rather than Read (active recording, not retrieval) or Destructive (logs cannot typically be unwritten in audit systems, but the primary function is creation, not deletion).

From the tool's own definition: "Tool 'logs AI safety violations' and 'accepts incident details' to create structured compliance records. The verb 'logs' and 'automated incident tracking' indicate data creation/recording, not querying."

## Use case

AI agents use safety_violation_incident_logger 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": {
    "safety_violation_incident_logger": {
      "limits": [
        {
          "counter": "safety_violation_incident_logger_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