schedule_command
Schedule a command to run after a delay (e.g.
This record as markdown: /tools/deswong-openhab-mcp/schedule-command.md
What schedule_command does on Openhab
AI agents invoke schedule_command to trigger actions in Openhab. 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 schedule_command is rated High
The tool schedules and executes commands against the OpenHAB system, which can trigger real-world home automation actions (lights, locks, HVAC, etc.). 'Execute a command' clearly places this in the Execute category. High severity because misuse could trigger unintended physical actions in a home environment, and the scheduling aspect means effects may be delayed and harder to intercept.
From the tool's definition Schedule a command to run after a delay
Attacks that exploit this kind of access
The rule that runs schedule_command safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Openhab, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For schedule_command, this is the rule to start with:
schedule_command 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 Openhab, apply this rule, and every schedule_command call is checked against it from then on.
Questions about schedule_command
Schedule a command to run after a delay (e.g. It is categorised as a Execute tool in the Openhab MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Openhab MCP server in PolicyLayer and add a rule for schedule_command: 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 Openhab. Nothing to install.
schedule_command 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 schedule_command 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 schedule_command. 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.
schedule_command is provided by the Openhab MCP server (deswong/openhab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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