messages_forward
Forward a message from one thread to another. Supports native Telegram forwarding (preserves original sender attribution) and text-based forwarding for cross-channel scenarios.
This record as markdown: /tools/io-github-saloprj-dialogbrain/messages-forward.md
What messages_forward does on Dialogbrain
AI agents use messages_forward 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 |
|---|---|---|---|
dest_thread_id | string | — | Destination thread to forward into. Provide at least one of dest_thread_id or recipient_name. To forward into the active conversation, pass the current thread_i |
recipient_name | string | — | Name of person to forward to (channel auto-resolved). Provide at least one of dest_thread_id or recipient_name. Use only when forwarding to a different contact |
source_thread_id | string | Yes | Thread containing the message to forward (e.g., 'telegram:123456' or numeric DB ID) |
source_message_id | string | Yes | ID of the message to forward |
Parameters from the server's own tool schema.
Why messages_forward is rated Medium
Forwarding messages is a write operation that creates new data (copies of messages in new locations) and modifies conversation threads. It does not delete, execute code, or move money, so Write is the appropriate category.
From the tool's definition Tool description states 'Forward a message from one thread to another' with explicit support for Telegram and cross-channel forwarding. This action creates new message copies in destination threads, modifying the state of those conversations.
Attacks that exploit this kind of access
The rule that runs messages_forward 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 messages_forward, this is the rule to start with:
messages_forward 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 messages_forward call is checked against it from then on.
Questions about messages_forward
Forward a message from one thread to another. Supports native Telegram forwarding (preserves original sender attribution) and text-based forwarding for cross-channel scenarios. 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.
messages_forward accepts 4 parameters: dest_thread_id, recipient_name, source_thread_id, source_message_id. Required: source_thread_id, source_message_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 messages_forward: 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.
messages_forward 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 messages_forward 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 messages_forward. 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.
messages_forward 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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