pipedrive_add_deal_product

Attach a single product as a line item to a deal.

SERVERPipedrive MCP Server SOURCEckalima/pipedrive-mcp-server

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/ckalima-pipedrive-mcp-server/pipedrive-add-deal-product.md

WHAT IT DOES

What pipedrive_add_deal_product does on Pipedrive MCP Server

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

RISK

Why pipedrive_add_deal_product is rated Medium

This tool creates or adds a new product line item to a deal, which is a reversible write operation. While it modifies deal data (potentially affecting financial pipelines), it does not commit financial transactions, delete data irreversibly, or execute arbitrary code.

From the tool's definition Tool name 'pipedrive_add_deal_product' and description 'Attach a single product as a line item to a deal' indicate creation/addition of data to an existing deal record. Server description confirms 'full CRUD operations' capability.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipedrive_add_deal_product safely

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

pipedrive_add_deal_product Rate-limited

pipedrive_add_deal_product 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": {
    "pipedrive_add_deal_product": {
      "limits": [
        {
          "counter": "pipedrive_add_deal_product_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 Pipedrive MCP Server, apply this rule, and every pipedrive_add_deal_product call is checked against it from then on.

FAQ

Questions about pipedrive_add_deal_product

What does the pipedrive_add_deal_product tool do? +

Attach a single product as a line item to a deal. It is categorised as a Write tool in the Pipedrive MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pipedrive_add_deal_product? +

Register the Pipedrive MCP Server MCP server in PolicyLayer and add a rule for pipedrive_add_deal_product: 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 Pipedrive MCP Server. Nothing to install.

What risk level is pipedrive_add_deal_product? +

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

Can I rate-limit pipedrive_add_deal_product? +

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

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

pipedrive_add_deal_product is provided by the Pipedrive MCP Server MCP server (ckalima/pipedrive-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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