bulk_acknowledge_alerts
Acknowledge multiple alerts at once (max 100, requires write permission)
This record as markdown: /tools/io-github-ryanmat-logicmonitor/bulk-acknowledge-alerts.md
What bulk_acknowledge_alerts does on Logicmonitor
AI agents use bulk_acknowledge_alerts to create or update resources in Logicmonitor, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Logicmonitor environment.
Why bulk_acknowledge_alerts is rated Medium
An AI agent can call bulk_acknowledge_alerts faster than any human can review: one bad instruction and it creates or modifies resources in Logicmonitor by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs bulk_acknowledge_alerts safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Logicmonitor, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bulk_acknowledge_alerts, this is the rule to start with:
bulk_acknowledge_alerts 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 Logicmonitor, apply this rule, and every bulk_acknowledge_alerts call is checked against it from then on.
Questions about bulk_acknowledge_alerts
Acknowledge multiple alerts at once (max 100, requires write permission). It is categorised as a Write tool in the Logicmonitor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Logicmonitor MCP server in PolicyLayer and add a rule for bulk_acknowledge_alerts: 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 Logicmonitor. Nothing to install.
bulk_acknowledge_alerts 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 bulk_acknowledge_alerts 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 bulk_acknowledge_alerts. 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.
bulk_acknowledge_alerts is provided by the Logicmonitor MCP server (pypi:lm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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