set_wavelength
Set the correction wavelength (nm) the meter uses to convert sensor signal to power. Must be
This record as markdown: /tools/lab-instrument-mcps/set-wavelength.md
What set_wavelength does on Pypi:labmcp Alicat
AI agents use set_wavelength 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_wavelength is rated Medium
Modifies instrument calibration parameters reversibly; misuse could skew measurement accuracy but is not destructive or executable.
From the tool's definition Set the correction wavelength (nm) the meter uses to convert
Attacks that exploit this kind of access
The rule that runs set_wavelength 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_wavelength, this is the rule to start with:
set_wavelength 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_wavelength call is checked against it from then on.
Questions about set_wavelength
Set the correction wavelength (nm) the meter uses to convert sensor signal to power. Must be. 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_wavelength: 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_wavelength 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_wavelength 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_wavelength. 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_wavelength 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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