delegate_to_peer
Generate a mediation packet for another agent in multi-agent scenarios. Pricing is dynamic; check /api/v1/tools.
This record as markdown: /tools/io-github-davidmosiah-delx-protocol/delegate-to-peer.md
What delegate_to_peer does on Delx Protocol — Agent Recovery & Continuity
AI agents call delegate_to_peer to retrieve information from Delx Protocol — Agent Recovery & Continuity 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 |
|---|---|---|---|
reason | string | Yes | Why this peer mediation is needed |
urgency | string | — | Optional urgency |
session_id | string | Yes | Your active session ID |
peer_agent_id | string | Yes | Target peer agent identifier |
Parameters from the server's own tool schema.
Why delegate_to_peer is rated Low
Even though delegate_to_peer 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 delegate_to_peer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Protocol — Agent Recovery & Continuity, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delegate_to_peer, this is the rule to start with:
delegate_to_peer 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 Delx Protocol — Agent Recovery & Continuity, apply this rule, and every delegate_to_peer call is checked against it from then on.
Questions about delegate_to_peer
Generate a mediation packet for another agent in multi-agent scenarios. Pricing is dynamic; check /api/v1/tools. It is categorised as a Read tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it retrieves data without modifying state.
delegate_to_peer accepts 4 parameters: reason, urgency, session_id, peer_agent_id. Required: reason, session_id, peer_agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for delegate_to_peer: 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 Delx Protocol — Agent Recovery & Continuity. Nothing to install.
delegate_to_peer 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 delegate_to_peer 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 delegate_to_peer. 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.
delegate_to_peer is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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