Delegate a multi-step task (research, composing messages, booking, scheduling) to the full agentic planner. Use when a user ask needs more than a direct answer. The specialist runs synchronously — its response is already shown to the user in real-time. Summarize the OUTCOME in past tense (e.g. 'T...
Part of the Dialogbrain server.
Free to start. No card required.
AI agents use agent_handoff to create or modify resources in Dialogbrain. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call agent_handoff repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Dialogbrain.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"agent_handoff": {
"limits": [
{
"counter": "agent_handoff_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Dialogbrain policy for all 157 tools.
These attack patterns abuse exactly the kind of access agent_handoff gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Delegate a multi-step task (research, composing messages, booking, scheduling) to the full agentic planner. Use when a user ask needs more than a direct answer. The specialist runs synchronously — its response is already shown to the user in real-time. Summarize the OUTCOME in past tense (e.g. 'The Media Creator generated your video' or 'The Document Composer failed because...'). Do NOT say 'I will delegate' — the delegation already happened. If status is timeout or error, explain what went wrong and offer to retry.. 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.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for agent_handoff: 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.
agent_handoff 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 agent_handoff 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 agent_handoff. 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.
agent_handoff 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.
Deterministic rules across all 157 Dialogbrain tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.