calls_mute_translation_tts
Mute or unmute an active call's live-translation TTS. scope='call' (default, Google Meet sessions ONLY): the translator goes silent INSIDE the call — participants hear no bot voice, in-flight audio is cut immediately, but translation audio + subtitles remain available in the app (listen overlay)....
This record as markdown: /tools/io-github-saloprj-dialogbrain/calls-mute-translation-tts.md
What calls_mute_translation_tts does on Dialogbrain
AI agents use calls_mute_translation_tts to create or update resources in Dialogbrain, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dialogbrain environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
muted | boolean | Yes | true to mute, false to unmute. |
scope | string | — | 'call' (default; Google Meet only): silent in the call only — app audio + subtitles keep flowing. 'everywhere' (any channel): no TTS synthesis at all (subtitles |
call_id | string | Yes | The active call / Meet session call_id (UUID) — e.g. from calls.send_to_meet's session_id or calls.list_active. |
Parameters from the server's own tool schema.
Why calls_mute_translation_tts is rated Medium
An AI agent can call calls_mute_translation_tts faster than any human can review: one bad instruction and it creates or modifies resources in Dialogbrain by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs calls_mute_translation_tts safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For calls_mute_translation_tts, this is the rule to start with:
calls_mute_translation_tts 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 Dialogbrain, apply this rule, and every calls_mute_translation_tts call is checked against it from then on.
Questions about calls_mute_translation_tts
Mute or unmute an active call's live-translation TTS. scope='call' (default, Google Meet sessions ONLY): the translator goes silent INSIDE the call — participants hear no bot voice, in-flight audio is cut immediately, but translation audio + subtitles remain available in the app (listen overlay). scope='everywhere' (any channel): stop synthesizing entirely from the next utterance — subtitles only, no audio anywhere. muted=false reverses either. Translation itself keeps running throughout. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
calls_mute_translation_tts accepts 3 parameters: muted, scope, call_id. Required: muted, call_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for calls_mute_translation_tts: 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 Dialogbrain. Nothing to install.
calls_mute_translation_tts 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 calls_mute_translation_tts 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 calls_mute_translation_tts. 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.
calls_mute_translation_tts is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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