deal_enrich · Llama MCP: Risk & Policy

WHAT IT DOES

What deal_enrich does on Llama

AI agents invoke deal_enrich to trigger actions in Llama. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why deal_enrich needs a policy

The tool explicitly 'runs' a planner/trigger, indicating it executes an external operation or workflow. It's not a simple read or write — it triggers an automated process (enrichment pipeline) whose side effects depend on the deal argument and the underlying system. This falls squarely in Execute.

From the tool's definition "Run the Llama Command deal enrichment planner/trigger for one deal"

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deal_enrich Rate-limited

deal_enrich stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "deal_enrich": {
      "limits": [
        {
          "counter": "deal_enrich_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Llama, so you can run agents against it safely.

FAQ

Questions about deal_enrich

What does the deal_enrich tool do? +

Run the Llama Command deal enrichment planner/trigger for one deal. It is categorised as a Execute tool in the Llama MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deal_enrich? +

Register the Llama MCP server in PolicyLayer and add a rule for deal_enrich: 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 Llama. Nothing to install.

What risk level is deal_enrich? +

deal_enrich is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit deal_enrich? +

Yes. Add a rate_limit block to the deal_enrich 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.

How do I block deal_enrich completely? +

Set action: deny in the PolicyLayer policy for deal_enrich. 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.

What MCP server provides deal_enrich? +

deal_enrich is provided by the Llama MCP server (llama-ventures/llama-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.