set_integration_time
Set the detector integration time (ms), within the device limits from get_device_info.
This record as markdown: /tools/lab-instrument-mcps/set-integration-time.md
What set_integration_time does on Pypi:labmcp Alicat
AI agents use set_integration_time to create or update resources in Pypi:labmcp Alicat, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:labmcp Alicat environment.
Why set_integration_time is rated Medium
Modifies instrument configuration reversibly; within safety bounds enforced by device limits.
From the tool's definition Set the detector integration time (ms), within the device limits
Attacks that exploit this kind of access
The rule that runs set_integration_time safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:labmcp Alicat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_integration_time, this is the rule to start with:
set_integration_time 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 Pypi:labmcp Alicat, apply this rule, and every set_integration_time call is checked against it from then on.
Questions about set_integration_time
Set the detector integration time (ms), within the device limits from get_device_info. It is categorised as a Write tool in the Pypi:labmcp Alicat MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for set_integration_time: 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 Pypi:labmcp Alicat. Nothing to install.
set_integration_time 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 set_integration_time 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 set_integration_time. 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.
set_integration_time is provided by the Pypi:labmcp Alicat MCP server (pypi:labmcp-alicat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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