group_add_member
Add a member to an existing group on Telegram or WhatsApp. What this does: - Adds the specified member to the group - Resolves the member by username, phone number, or JID - Reports if the member is already in the group Returns: success, chat_id, member, already_member.
This record as markdown: /tools/io-github-saloprj-dialogbrain/group-add-member.md
What group_add_member does on Dialogbrain
AI agents use group_add_member 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 |
|---|---|---|---|
member | string | Yes | The member to add (format depends on channel: @username on Telegram, phone on WhatsApp) |
channel | string | Yes | Channel where the group exists (e.g., 'telegram', 'whatsapp') |
chat_id | integer | Yes | ID of the group/channel to add the member to |
Parameters from the server's own tool schema.
Why group_add_member is rated Medium
This tool creates or modifies data (group membership) reversibly. Adding members to groups is a Write operation, not Read (it modifies state), not Execute (no arbitrary code execution), not Destructive (reversible via removal), and not Financial. Severity is medium because an AI agent misusing this could add unwanted members to groups causing organizational disruption or privacy issues, but the action is reversible.
From the tool's definition Tool explicitly adds members to groups: 'Add a member to an existing group on Telegram or WhatsApp. Adds the specified member to the group.' This is a reversible modification of group membership state.
Attacks that exploit this kind of access
The rule that runs group_add_member 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_add_member, this is the rule to start with:
group_add_member 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every group_add_member call is checked against it from then on.
Questions about group_add_member
Add a member to an existing group on Telegram or WhatsApp. What this does: - Adds the specified member to the group - Resolves the member by username, phone number, or JID - Reports if the member is already in the group Returns: success, chat_id, member, already_member. 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.
group_add_member accepts 3 parameters: member, channel, chat_id. Required: member, channel, chat_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_add_member: 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_add_member is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the group_add_member 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_add_member. 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_add_member 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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