This record as markdown: /tools/libi/speech-to-text.md
What speech_to_text does on Libi
AI agents use speech_to_text to create or update resources in Libi, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Libi environment.
Why speech_to_text is rated Medium
An AI agent can call speech_to_text faster than any human can review: one bad instruction and it creates or modifies resources in Libi by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs speech_to_text safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Libi, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For speech_to_text, this is the rule to start with:
speech_to_text 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 Libi, apply this rule, and every speech_to_text call is checked against it from then on.
Questions about speech_to_text
Test-mode ElevenLabs mirror. It is categorised as a Write tool in the Libi MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Libi MCP server in PolicyLayer and add a rule for speech_to_text: 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 Libi. Nothing to install.
speech_to_text 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 speech_to_text 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 speech_to_text. 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.
speech_to_text is provided by the Libi MCP server (Nagellabs/libi). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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