record
A other tool on the Pypi:labmcp Alicat MCP server.
This record as markdown: /tools/lab-instrument-mcps/record.md
What record does on Pypi:labmcp Alicat
AI agents call record as a supporting operation in Pypi:labmcp Alicat workflows.
Why record is rated Low
With no description, classification is uncertain. In the context of a pronunciation/voice coach server with sibling tools like 'analyze_uploaded_audio', 'check_mic', and 'latest_voice_capture', 'record' most likely captures audio input for coaching purposes. This is a Read/Write-adjacent action (capturing microphone input), but given the educational context and low blast radius, it fits best as 'Other' or 'Write'.
From the tool's definition Tool description is empty and uninformative; tool name 'record' in context of a voice coach server suggests audio recording functionality.
Attacks that exploit this kind of access
The rule that runs record 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 record, this is the rule to start with:
record gets a rate cap, and 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 record call is checked against it from then on.
Questions about record
record is a other tool on the Pypi:labmcp Alicat MCP server. It is categorised as a Other tool in the Pypi:labmcp Alicat MCP Server, which means it performs auxiliary operations.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for record: 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.
record is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the record 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 record. 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.
record 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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