recommend_deal_move

SERVERAdrata SOURCE@adrata/adrata-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/recommend-deal-move.md

WHAT IT DOES

What recommend_deal_move does on Adrata

AI agents use recommend_deal_move to create or update resources in Adrata, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adrata environment.

RISK

Why recommend_deal_move is rated Medium

An AI agent can call recommend_deal_move faster than any human can review: one bad instruction and it creates or modifies resources in Adrata by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs recommend_deal_move safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_deal_move, this is the rule to start with:

recommend_deal_move Rate-limited

recommend_deal_move 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_deal_move": {
      "limits": [
        {
          "counter": "recommend_deal_move_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adrata, apply this rule, and every recommend_deal_move call is checked against it from then on.

FAQ

Questions about recommend_deal_move

What does the recommend_deal_move tool do? +

Recommend Adrata chat’s next no-loss deal move through the governed ToolDispatcher. Read-only: use write tools separately after the seller chooses an action. Supports competitor wedge inputs and uses observable-evidence triangulation guardrails; never infers IQ, age, college-as-IQ, proxy personality, or protected classes. It is categorised as a Write tool in the Adrata MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on recommend_deal_move? +

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

What risk level is recommend_deal_move? +

recommend_deal_move is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit recommend_deal_move? +

Yes. Add a rate_limit block to the recommend_deal_move 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 recommend_deal_move completely? +

Set action: deny in the PolicyLayer policy for recommend_deal_move. 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 recommend_deal_move? +

recommend_deal_move is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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