agents_approve_draft
Approve a pending agent draft and send the message. The draft will be sent to the conversation it was generated for. You can optionally edit the text before sending. Use this when user says: - 'Approve this draft' - 'Send this reply' - 'Approve and send' - 'Looks good, send it' IMPORTANT: This wi...
This record as markdown: /tools/io-github-saloprj-dialogbrain/agents-approve-draft.md
What agents_approve_draft does on Dialogbrain
AI agents use agents_approve_draft 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 |
|---|---|---|---|
draft_id | integer | Yes | ID of the draft to approve |
edited_text | string | — | Optional edited response text (if user wants to modify before sending) |
Parameters from the server's own tool schema.
Why agents_approve_draft is rated Medium
This tool creates and sends real messages to external recipients (WhatsApp, Telegram, Email, or voice contexts per server description). While reversible through typical message deletion/unsend features, it irreversibly commits communication to recipients in real-time. Categorized as Write rather than Execute because the core action is message creation/transmission, not arbitrary code execution.
From the tool's definition Tool description explicitly states 'send the message' and 'This will send a message to a real person.' The tool approves and transmits a draft message to an actual conversation/recipient.
Attacks that exploit this kind of access
The rule that runs agents_approve_draft 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 agents_approve_draft, this is the rule to start with:
agents_approve_draft 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 agents_approve_draft call is checked against it from then on.
Questions about agents_approve_draft
Approve a pending agent draft and send the message. The draft will be sent to the conversation it was generated for. You can optionally edit the text before sending. Use this when user says: - 'Approve this draft' - 'Send this reply' - 'Approve and send' - 'Looks good, send it' IMPORTANT: This will send a message to a real person. 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.
agents_approve_draft accepts 2 parameters: draft_id, edited_text. Required: draft_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 agents_approve_draft: 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.
agents_approve_draft 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 agents_approve_draft 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 agents_approve_draft. 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.
agents_approve_draft 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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