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 track...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/safety-violation-incident-logger.md
What safety_violation_incident_logger does on Mcp Knowledge
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.
| 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 |
metadata | object | — | |
severity | string | Yes | |
timestamp | string | Yes | |
description | string | Yes | |
violationType | string | Yes |
Parameters from the server's own tool schema.
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 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.
Attacks that exploit this kind of access
The rule that runs safety_violation_incident_logger 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 safety_violation_incident_logger, this is the rule to start with:
safety_violation_incident_logger 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 Mcp Knowledge, apply this rule, and every safety_violation_incident_logger call is checked against it from then on.
Questions about 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. 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.
safety_violation_incident_logger accepts 6 parameters: async, metadata, severity, timestamp, description, violationType. Required: severity, timestamp, description, violationType. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for safety_violation_incident_logger: 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.
safety_violation_incident_logger 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 safety_violation_incident_logger 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 safety_violation_incident_logger. 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.
safety_violation_incident_logger 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.
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