group_leave
Leave a group and stop syncing its messages to your inbox. The group will be moved back to discovered state (can rejoin later). What this does: - Leaves the group on Telegram (or other channel) - Stops syncing new messages - Disables any AI auto-reply drafts for this group - Keeps the group in di...
This record as markdown: /tools/io-github-saloprj-dialogbrain/group-leave.md
What group_leave does on Dialogbrain
AI agents call group_leave to retrieve information from Dialogbrain without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
group_id | integer | Yes | ID of the monitored group (from group.list with lifecycle='monitored') |
Parameters from the server's own tool schema.
Why group_leave is rated Low
Even though group_leave only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs group_leave 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_leave, this is the rule to start with:
group_leave is read-only, so it stays allowed. 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_leave call is checked against it from then on.
Questions about group_leave
Leave a group and stop syncing its messages to your inbox. The group will be moved back to discovered state (can rejoin later). What this does: - Leaves the group on Telegram (or other channel) - Stops syncing new messages - Disables any AI auto-reply drafts for this group - Keeps the group in discovery list (not deleted) Returns: success, thread_id. It is categorised as a Read tool in the Dialogbrain MCP Server, which means it retrieves data without modifying state.
group_leave accepts 1 parameter: group_id. 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_leave: 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_leave is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the group_leave 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_leave. 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_leave 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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