list_instruments
List attached pipettes (and the Flex gripper): mount, name, channels, volume range, and whether
This record as markdown: /tools/lab-instrument-mcps/list-instruments.md
What list_instruments does on Pypi:labmcp Alicat
AI agents call list_instruments 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 list_instruments is rated Low
Tool retrieves instrument metadata with no side effects or operational impact.
From the tool's definition List attached pipettes: mount, name, channels, volume range, whether
Attacks that exploit this kind of access
The rule that runs list_instruments 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 list_instruments, this is the rule to start with:
list_instruments 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 list_instruments call is checked against it from then on.
Questions about list_instruments
List attached pipettes (and the Flex gripper): mount, name, channels, volume range, and whether. 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 list_instruments: 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.
list_instruments 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 list_instruments 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 list_instruments. 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.
list_instruments 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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