agents_trigger_create

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp

Medium RISK CLASS

Category Write

Parameters 82 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/agents-trigger-create.md

WHAT IT DOES

What agents_trigger_create does on Dialogbrain

AI agents use agents_trigger_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.

Parameter	Type	Required	Description
`enabled`	boolean	—	Whether the trigger is enabled. OMIT to use the default (true).
`agent_id`	integer	Yes	ID of the agent to create a trigger for
`priority`	integer	—	Trigger priority — lower numbers run first (default: 100)
`send_mode`	string	—	Send mode override for this trigger. OMIT to inherit from the agent.
`conditions`	object	—	Trigger conditions (JSON). Supported fields for incoming_message: - keywords: ["pricing","demo"] — message must contain keyword(s) (free, no LLM cost) - keyword
`thread_ids`	array	—	Restrict this trigger to specific threads (chats) by their numeric thread IDs. When set, the trigger only fires for messages in these threads. Only for incoming
`trigger_type`	string	Yes	Type of trigger: 'incoming_message', 'incoming_call', 'schedule', 'webhook', 'event', 'blockchain_event', 'job_completed', or 'calendar_event'
`excluded_thread_ids`	array	—	Exclude specific threads (chats) by their numeric thread IDs — the opposite of thread_ids. When set, the trigger NEVER fires for messages in these threads, even

Parameters from the server's own tool schema.

RISK

Why agents_trigger_create is rated Medium

This tool creates a new trigger configuration that controls when an AI agent activates. It is a Write operation (reversible creation of a configuration object). However, severity is high because misconfigured triggers could cause AI agents to activate unintendedly on incoming messages, schedules, webhooks, or system events — potentially leading to unauthorized message sending or other agent actions at scale across…

From the tool's definition Create a new trigger for an AI agent. Triggers determine when the agent activates.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs agents_trigger_create 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 agents_trigger_create, this is the rule to start with:

agents_trigger_create Rate-limited

agents_trigger_create 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "agents_trigger_create": {
      "limits": [
        {
          "counter": "agents_trigger_create_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every agents_trigger_create call is checked against it from then on.

FAQ

Questions about agents_trigger_create

What does the agents_trigger_create tool do? +

Create a new trigger for an AI agent. Triggers determine when the agent activates. Trigger types: - incoming_message: Activates on new incoming messages - schedule: Activates on a schedule - webhook: Activates on webhook events - event: Activates on system events. 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.

What parameters does agents_trigger_create accept? +

agents_trigger_create accepts 8 parameters: enabled, agent_id, priority, send_mode, conditions, thread_ids, trigger_type, excluded_thread_ids. Required: agent_id, trigger_type. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on agents_trigger_create? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for agents_trigger_create: 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.

What risk level is agents_trigger_create? +

agents_trigger_create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit agents_trigger_create? +

Yes. Add a rate_limit block to the agents_trigger_create 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.

How do I block agents_trigger_create completely? +

Set action: deny in the PolicyLayer policy for agents_trigger_create. 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.

What MCP server provides agents_trigger_create? +

agents_trigger_create 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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