# agents_create

Create a new AI agent in the workspace. Execution modes: - ai_assisted (default, recommended): Two-phase AI — fast pre-classifier (Haiku) for keyword filtering and simple replies, then full AI with tools for complex messages. Best for: auto-replies, group monitoring, keyword-based filtering. - agentic: Autonomous multi-step agent with planning and tool execution. Best for: complex scheduled tasks, multi-step automation. - rule_based: Simple pattern matching without AI. For keyword filtering: use ai_assisted mode + set keywords in trigger conditions (free, deterministic) and/or auto_reply_rules (smart, LLM-based) via agents.update.

Agent View of the PolicyLayer registry record for `agents_create`. HTML page: https://policylayer.com/tools/io-github-saloprj-dialogbrain/agents-create

## Facts

- Tool: `agents_create`
- 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: 8 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `name` | string | yes | Name of the AI agent (1-100 characters) |
| `model` | string | no | LLM the agent runs on. OMIT to use the platform default (deepseek-chat). Applied right after creation so you don't need a follow-up agents_update. |
| `prompt_id` | integer | no | ID of the prompt to assign to this agent |
| `send_mode` | string | no | Default send mode: 'auto' or 'draft'. OMIT to use 'draft' (the default). |
| `description` | string | no | Optional description of what this agent does |
| `text_engine` | string | no | Text-execution engine: 'rule_based', 'ai_assisted', 'agentic' (default), or 'claude_channels'. Voice is derived from triggers, not engine. OMIT to use the defau |
| `allowed_tools` | array | no | Explicit allow-list of tool IDs the agent may call on triggered runs (e.g. ['workbench.run_python', 'messages.send']). OMIT to use system defaults. Applied righ |
| `max_iterations` | integer | no | Hard cap on agentic-loop turns per run (1-50). OMIT for the default (10). |

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": "agents_create",
    "arguments": {
      "name": "<name>"
    }
  }
}
```

## Why agents_create is rated Medium

An AI agent can call agents_create 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.

## Use case

AI agents use agents_create 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": {
    "agents_create": {
      "limits": [
        {
          "counter": "agents_create_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