launch_workflow
Launch a workflow job template. Requires write permission.
This record as markdown: /tools/io-github-ryanmat-logicmonitor/launch-workflow.md
What launch_workflow does on Logicmonitor
AI agents invoke launch_workflow to trigger actions in Logicmonitor. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why launch_workflow is rated High
launch_workflow triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs launch_workflow 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 launch_workflow, this is the rule to start with:
launch_workflow stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 launch_workflow call is checked against it from then on.
Questions about launch_workflow
Launch a workflow job template. Requires write permission. It is categorised as a Execute tool in the Logicmonitor MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Logicmonitor MCP server in PolicyLayer and add a rule for launch_workflow: 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.
launch_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the launch_workflow 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 launch_workflow. 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.
launch_workflow 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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