read_digital_inputs
Report the logic level and direction (input/output/analog) of digital I/O lines.
This record as markdown: /tools/lab-instrument-mcps/read-digital-inputs.md
What read_digital_inputs does on Pypi:labmcp Alicat
AI agents call read_digital_inputs to retrieve information from Pypi:labmcp Alicat without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why read_digital_inputs is rated Low
Tool merely reports current state of digital inputs without modifying hardware or triggering operations.
From the tool's definition Report the logic level and direction of digital I/O lines.
Attacks that exploit this kind of access
The rule that runs read_digital_inputs 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 read_digital_inputs, this is the rule to start with:
read_digital_inputs is read-only, so it stays allowed. 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 read_digital_inputs call is checked against it from then on.
Questions about read_digital_inputs
Report the logic level and direction (input/output/analog) of digital I/O lines. It is categorised as a Read tool in the Pypi:labmcp Alicat MCP Server, which means it retrieves data without modifying state.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for read_digital_inputs: 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.
read_digital_inputs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the read_digital_inputs 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 read_digital_inputs. 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.
read_digital_inputs 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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