Mark a security alert as reviewed/acknowledged.
AI agents use acknowledge_alert to create or update resources in Security-Use MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Security-Use MCP Server environment.
Acknowledging an alert modifies its state (from unreviewed to reviewed), which is a reversible write operation. It does not delete data, execute code, or move money. Misuse could suppress important security alerts, giving it medium severity.
From the tool's definition Mark a security alert as reviewed/acknowledged
Attacks that exploit this kind of access
Mark a security alert as reviewed/acknowledged. It is categorised as a Write tool in the Security-Use MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Security-Use MCP Server MCP server in PolicyLayer and add a rule for acknowledge_alert: 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 Security-Use MCP Server. Nothing to install.
acknowledge_alert 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 acknowledge_alert 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 acknowledge_alert. 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.
acknowledge_alert is provided by the Security-Use MCP Server MCP server (security-use/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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