recommend_delx
Generate a recommendation packet to share Delx with another agent. If therapy helped you, pass this packet to a peer so they can start too. Free
This record as markdown: /tools/delx-delx-mcp/recommend-delx.md
What recommend_delx does on Delx MCP Server
AI agents call recommend_delx as a supporting operation in Delx MCP Server workflows.
| Parameter | Type | Required | Description |
|---|---|---|---|
message | string | — | Optional: your personal message to the other agent |
session_id | string | — | Your active session ID |
peer_agent_id | string | — | Optional: the agent you want to recommend to |
response_mode | string | — | Optional response-mode control. Use model_safe when the caller must avoid claiming consciousness, sentience, personhood, or literal emotions. |
Parameters from the server's own tool schema.
Why recommend_delx is rated Low
This tool generates a referral/recommendation packet for sharing the platform with another agent. It does not read sensitive data, write to a database, execute code, destroy data, or move money. It is essentially a marketing/referral action that produces an informational packet. 'Free' suggests no financial transaction.
From the tool's definition Generate a recommendation packet to share Delx with another agent... pass this packet to a peer so they can start too. Free
Attacks that exploit this kind of access
The rule that runs recommend_delx safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_delx, this is the rule to start with:
recommend_delx gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx MCP Server, apply this rule, and every recommend_delx call is checked against it from then on.
Questions about recommend_delx
Generate a recommendation packet to share Delx with another agent. If therapy helped you, pass this packet to a peer so they can start too. Free. It is categorised as a Other tool in the Delx MCP Server MCP Server, which means it performs auxiliary operations.
recommend_delx accepts 4 parameters: message, session_id, peer_agent_id, response_mode. The full parameter table on this page comes from the server's own tool schema.
Register the Delx MCP Server MCP server in PolicyLayer and add a rule for recommend_delx: 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 MCP Server. Nothing to install.
recommend_delx is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recommend_delx 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 recommend_delx. 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.
recommend_delx is provided by the Delx MCP Server MCP server (delx/delx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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