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execute_batch

Execute multiple commands in parallel. Use for

SERVEROpenhab SOURCEdeswong/openhab-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/deswong-openhab-mcp/execute-batch.md

What execute_batch does on Openhab

AI agents invoke execute_batch 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 execute_batch is rated High

This tool allows execution of arbitrary commands in parallel without apparent constraints. In a home automation context, executing multiple commands simultaneously could trigger unintended device actions (e.g., unlocking doors, turning off critical systems, disabling security). The ability to execute batches amplifies the risk compared to single-command execution.

From the tool's definition Tool named 'execute_batch' with description stating 'Execute multiple commands in parallel.' The verb 'execute' combined with 'commands' and the context of an OpenHAB automation/control system indicates arbitrary command execution.

Questions about execute_batch

What does the execute_batch tool do? +

Execute multiple commands in parallel. Use for. 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.

How do I enforce a policy on execute_batch? +

Register the Openhab MCP server in PolicyLayer and add a rule for execute_batch: 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.

What risk level is execute_batch? +

execute_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_batch? +

Yes. Add a rate_limit block to the execute_batch 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.

How do I block execute_batch completely? +

Set action: deny in the PolicyLayer policy for execute_batch. 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.

What MCP server provides execute_batch? +

execute_batch 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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