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-gapup-mcp/safety-violation-incident-logger.md
What safety_violation_incident_logger does on Gapup Mcp
AI agents use safety_violation_incident_logger 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 |
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 creates and structures compliance incident records rather than merely querying existing data. While the blast radius of misuse is medium (false incident logging could disrupt compliance processes or create false regulatory reports, but is reversible through audit corrections), it does not meet the threshold for Destructive (incidents can be corrected), Financial (no money moved), or Execute (no arbitrary…
From the tool's definition Tool 'logs' and 'accepts incident details' with 'returns structured data' indicating creation/modification of compliance records in a logging system.
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 Gapup Mcp, 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 Gapup Mcp, 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 Gapup Mcp 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 Gapup 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 Gapup Mcp. 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 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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