# calls_send_to_telegram_call

Dispatch a workspace AI agent into a live Telegram GROUP voice chat OR an encrypted call-link conference. FOUR ways to target the call: (1) chat_id — the group's numeric id, e.g. -1001234567890 (use for a private group with no @username); (2) target=@username or a t.me/<group> link; (3) omit both target and chat_id to use the CURRENT thread (when it's a Telegram group); (4) target=t.me/call/<slug> encrypted group-call link. start_if_none=true spawns a new voice chat if the group has none active. The agent joins via the workspace's Telegram account — hears the call, replies via TTS, and sees shared screens (when vision is enabled). NOTE: joining a regular in-group voice chat does NOT need a slug link — pass chat_id directly.

Agent View of the PolicyLayer registry record for `calls_send_to_telegram_call`. HTML page: https://policylayer.com/tools/io-github-saloprj-dialogbrain/calls-send-to-telegram-call

## Facts

- Tool: `calls_send_to_telegram_call`
- 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: Execute (High risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 7 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `target` | string | no | Telegram call or group to join. Either: (1) encrypted group-call slug (https://t.me/call/<slug> URL or bare slug token, 12-64 chars), (2) group reference (@user |
| `chat_id` | integer | no | Telegram group chat id to join the voice chat of (e.g. -1001234567890 for a supergroup, -4766727451 for a basic group). Use this to target a PRIVATE group that |
| `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 |
| `vision_mode` | string | no | Screen-share capture mode. 'off' = no vision (default), 'on_demand' = the agent can call vision_query for fine-detail reads, 'continuous_0_3fps' = the bot captu |
| `instructions` | string | no | What the agent should do once it joins — its task brief, woven into the voice system prompt. e.g. 'present the overview deck' or 'greet everyone and summarize t |
| `start_if_none` | boolean | no | When joining a group voice chat (not a slug-based encrypted call), spawn a new voice chat if none is active. Default false. Ignored when target is a call slug ( |
| `channel_account_id` | integer | no | Workspace Telegram channel account ID that joins as the bot. Optional — when the workspace has exactly one Telegram account, it's used by default. Required when |

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_telegram_call",
    "arguments": {
      "agent_id": 0
    }
  }
}
```

## Why calls_send_to_telegram_call is rated High

This tool triggers an external operation — dispatching an AI agent to join and participate in a live voice call on Telegram. It causes real-world side effects (agent joins calls, speaks via TTS, interacts in live sessions) that depend on the arguments provided. It is not merely writing data but executing an active agent operation in a live communication channel, making Execute the appropriate category.

From the tool's own definition: "Dispatch a workspace AI agent into a live Telegram GROUP voice chat OR an encrypted call-link conference... The agent joins via the workspace's Telegram account — hears the call, replies via TTS"

## Use case

AI agents invoke calls_send_to_telegram_call to trigger actions in Dialogbrain. 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.

## 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_telegram_call": {
      "limits": [
        {
          "counter": "calls_send_to_telegram_call_rate",
          "window": "minute",
          "max": 10,
          "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_ask` — Execute — https://policylayer.com/tools/io-github-saloprj-dialogbrain/agents-ask.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
- …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
