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...
This record as markdown: /tools/io-github-saloprj-dialogbrain/group-join.md
What group_join does on Dialogbrain
AI agents invoke group_join 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
group_id | integer | Yes | ID of the discovered group (from group.search or group.list) |
enable_auto_reply | boolean | — | Enable AI auto-reply drafts for messages in this group. Drafts can be reviewed and sent manually. Default: false (large public groups would otherwise generate d |
Parameters from the server's own tool schema.
Why group_join is rated High
This tool triggers an external operation (joining a group on Telegram or another platform) that has real-world side effects beyond just reading or writing local data. It changes membership state on an external service, initiates message syncing, and can enable AI auto-reply — all of which are hard to fully reverse and could expose the user to unwanted communications or reveal their presence in groups.
From the tool's definition Joins the group on Telegram (or other channel), Creates a thread in your inbox for syncing messages, Optionally enables AI auto-reply drafts
Attacks that exploit this kind of access
The rule that runs group_join 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 group_join, this is the rule to start with:
group_join stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every group_join call is checked against it from then on.
Questions about 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 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.
group_join accepts 2 parameters: group_id, enable_auto_reply. Required: group_id. The full parameter table on this page comes from the server's own tool schema.
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.
group_join is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
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.
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