# calls_send_to_meet Dispatch a workspace AI agent into an active Google Meet call. The agent joins as a participant — it can hear the conversation, respond via TTS, see the shared screen (when vision is enabled on the agent), and answer questions about what's on screen. Use when the operator wants to delegate live meeting attendance to an agent (notes, Q&A, summarization, real-time support). The Meet URL must be in canonical 3-4-3 form, e.g. https://meet.google.com/abc-defg-hij. Lookup-redirect URLs are not supported — operator must use the share-link form. Agent View of the PolicyLayer registry record for `calls_send_to_meet`. HTML page: https://policylayer.com/tools/io-github-saloprj-dialogbrain/calls-send-to-meet ## Facts - Tool: `calls_send_to_meet` - Server: Dialogbrain (`https://api.dialogbrain.com/mcp`) — https://policylayer.com/tools/io-github-saloprj-dialogbrain.md - Homepage: https://github.com/saloprj/dialogbrain-mcp - Risk category: Write (Medium risk) - Registry record: grade F, identity unverified - Server auth posture: open - Server rate-limited: no - Parameters: 10 (2 required) - Recommended policy verdict: Rate-limited ## Parameters | Parameter | Type | Required | Description | | --- | --- | --- | --- | | `silent` | boolean | no | Silent translator dispatch — the translator NEVER speaks into the Meet call (participants hear no bot voice); translation audio + subtitles stay available insid | | `agent_id` | integer | yes | ID of an active agent in this workspace. Get it from agents.list. Any active agent can be dispatched — a voice trigger is NOT required (the runner attaches the | | `meet_url` | string | yes | Canonical Google Meet URL — must match https://meet.google.com/<3 letters>-<4 letters>-<3 letters>, e.g. https://meet.google.com/abc-defg-hij. lookup/ redirects | | `vision_mode` | string | no | Screen-share capture mode. 'off' = no vision (default), 'on_demand' = the agent can call the vision_query tool for fine-detail reads, 'continuous_0_3fps' = the | | `instructions` | string | no | What the agent should do once it joins — its task brief, e.g. 'greet everyone and present the overview deck' or 'take notes and answer questions about the roadm | | `app_languages` | array | no | Extra target languages translated for the APP ONLY (shown as subtitles + listenable audio in the inbox), never spoken into the Meet call. Operators switch betwe | | `comeback_phrase` | string | no | Optional phrase to trigger return to original language during translation (e.g. 'Back to English'). Only used with translation_mode=true. | | `target_language` | string | no | PRIMARY target language spoken INTO the Meet call when translation_mode=true (e.g. 'en', 'es', 'fr'). OMIT to not use translation. | | `translation_mode` | boolean | no | If true, pre-arm translator mode (auto-target language) on join with zero verbal trigger. Forces the original-speaker audio track to exist. Requires target_lang | | `start_immediately` | boolean | no | If true, the agent starts talking as soon as it joins — it greets everyone and begins the task in `instructions` without waiting for someone to say a wake-word. | Parameters from the server's own tool schema. ## Example call (MCP tools/call, JSON-RPC 2.0) ```json { "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "calls_send_to_meet", "arguments": { "agent_id": 0, "meet_url": "" } } } ``` ## Why calls_send_to_meet is rated Medium An AI agent can call calls_send_to_meet 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. Risk signals: High parameter count (10 properties) ## Use case AI agents use calls_send_to_meet 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. ## Recommended policy (PolicyLayer) Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Dialogbrain: ```json { "version": "1", "default": "deny", "tools": { "calls_send_to_meet": { "limits": [ { "counter": "calls_send_to_meet_rate", "window": "minute", "max": 30, "scope": "grant" } ] } } } ``` ## Other tools on Dialogbrain (224) - `agents_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/agents-delete.md - `agents_trigger_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/agents-trigger-delete.md - `ai_filters_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/ai-filters-delete.md - `ai_tags_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/ai-tags-delete.md - `calendar_delete_event` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/calendar-delete-event.md - `collections_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/collections-delete.md - `files_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/files-delete.md - `folders_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/folders-delete.md - `integrations_remove_endpoints` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/integrations-remove-endpoints.md - `messages_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/messages-delete.md - `notes_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/notes-delete.md - `reminder_cancel` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/reminder-cancel.md - `tasks_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/tasks-delete.md - `threads_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/threads-delete.md - `widgets_delete` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/widgets-delete.md - `youtube_delete_comment` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/youtube-delete-comment.md - `youtube_delete_video` — Destructive — https://policylayer.com/tools/io-github-saloprj-dialogbrain/youtube-delete-video.md - `agent_handoff` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/agent-handoff.md - `agents_simulate_inbound` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/agents-simulate-inbound.md - `android_launch_app` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/android-launch-app.md - `android_shell` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/android-shell.md - `android_ui_dump` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/android-ui-dump.md - `background_run` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/background-run.md - `browser_attach_meet` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-attach-meet.md - `browser_click` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-click.md - `browser_close` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-close.md - `browser_drag` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-drag.md - `browser_evaluate` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-evaluate.md - `browser_fill` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-fill.md - `browser_fill_form` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/browser-fill-form.md - …and 194 more: https://policylayer.com/tools/io-github-saloprj-dialogbrain.md ## For agents This record is a snapshot. Live verdicts and the full registry: - Check every server in your MCP config at once: `npx -y policylayer stack` - Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md) - Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events` --- Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-saloprj-dialogbrain · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-saloprj-dialogbrain