This record as markdown: /tools/libi/text-to-speech.md
What text_to_speech does on Libi
AI agents invoke text_to_speech to trigger actions in Libi. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why text_to_speech is rated High
Calls external ElevenLabs API to synthesize speech, executing an external operation.
From the tool's definition ElevenLabs mirror — triggers external TTS service operation
Attacks that exploit this kind of access
The rule that runs text_to_speech 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 text_to_speech, this is the rule to start with:
text_to_speech stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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 text_to_speech call is checked against it from then on.
Questions about text_to_speech
Test-mode ElevenLabs mirror. It is categorised as a Execute tool in the Libi MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Libi MCP server in PolicyLayer and add a rule for text_to_speech: 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.
text_to_speech is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the text_to_speech 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 text_to_speech. 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.
text_to_speech 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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