High Risk →

group_join

Join a group and start syncing its messages to your inbox. The group must be in your discovery list (use group.search or group.add first). What this does: - Joins the group on Telegram (or other channel) - Creates a thread in your inbox for syncing messages - Optionally enables AI auto-reply draf...

Part of the Dialogbrain server.

group_join can trigger actions in Dialogbrain, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke group_join to trigger processes or run actions in Dialogbrain. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

group_join can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "group_join": {
      "limits": [
        {
          "counter": "group_join_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Dialogbrain policy for all 157 tools.

Get this rule live on your own Dialogbrain server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access group_join gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so group_join only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the group_join tool do? +

Join a group and start syncing its messages to your inbox. The group must be in your discovery list (use group.search or group.add first). What this does: - Joins the group on Telegram (or other channel) - Creates a thread in your inbox for syncing messages - Optionally enables AI auto-reply drafts Returns: success, thread_id, auto_reply_enabled.. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on group_join? +

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

group_join is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit group_join? +

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

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

group_join 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.

Enforce policy on every Dialogbrain tool call.

Deterministic rules across all 157 Dialogbrain tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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