reminder_set

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

Medium RISK CLASS

Category Write

Parameters 112 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/reminder-set.md

WHAT IT DOES

What reminder_set does on Dialogbrain

AI agents use reminder_set 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
`time`	string	—	Time of day HH:MM for daily/weekly/every_n_days (e.g. '09:00'). Required for daily/weekly/every_n_days.
`reason`	string	Yes	What this reminder is for (you'll see this when it fires)
`agent_id`	integer	—	Agent ID (required when calling from MCP; ignored in agentic mode).
`datetime`	string	—	ISO datetime for one_time (e.g. '2026-04-01T09:00:00+03:00'). Required for one_time.
`timezone`	string	—	IANA timezone (e.g. 'Europe/Moscow'). Defaults to UTC.
`thread_id`	integer	—	Optional thread ID to scope the reminder to. Omit for workspace-level reminders.
`days_of_week`	array	—	Days for weekly: 0=Mon, 1=Tue, 2=Wed, 3=Thu, 4=Fri, 5=Sat, 6=Sun. Required for weekly.
`interval_days`	integer	—	For every_n_days: fire every N days (min 2).
`schedule_type`	string	Yes	one_time = fires once at datetime. daily = fires daily at time. weekly = fires on specific days_of_week at time. every_n_days = fires every N days at time. inte
`interval_minutes`	integer	—	For interval: fire every N minutes (5-1440).
`target_agent_slug`	string	—	Optional: activate a different staff member instead of yourself when the reminder fires.

Parameters from the server's own tool schema.

RISK

Why reminder_set is rated Medium

This tool creates a scheduled reminder, which is a reversible write operation — reminders can be deleted or modified. It does not execute arbitrary code, delete data, or involve financial transactions. Misuse could result in spam or unintended agent triggers, hence medium severity.

From the tool's definition Schedule a reminder. One-time reminders fire at a specific datetime. Recurring reminders fire on a schedule (daily, weekly, every N days, or every N minutes).

Risk signalsHigh parameter count (11 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

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

reminder_set Rate-limited

reminder_set 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": {
    "reminder_set": {
      "limits": [
        {
          "counter": "reminder_set_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 reminder_set call is checked against it from then on.

FAQ

Questions about reminder_set

What does the reminder_set tool do? +

Schedule a reminder. One-time reminders fire at a specific datetime. Recurring reminders fire on a schedule (daily, weekly, every N days, or every N minutes). Optionally scope to a thread or target another agent. 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 reminder_set accept? +

reminder_set accepts 11 parameters: time, reason, agent_id, datetime, timezone, thread_id, days_of_week, interval_days, schedule_type, interval_minutes, target_agent_slug. Required: reason, schedule_type. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on reminder_set? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for reminder_set: 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 reminder_set? +

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

Can I rate-limit reminder_set? +

Yes. Add a rate_limit block to the reminder_set 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 reminder_set completely? +

Set action: deny in the PolicyLayer policy for reminder_set. 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 reminder_set? +

reminder_set 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.

KEEP EXPLORING

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