pipedrive_add_product_variation

Add a variation to a product.

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-product-variation.md

WHAT IT DOES

What pipedrive_add_product_variation does on Pipedrive MCP Server

AI agents use pipedrive_add_product_variation 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_product_variation is rated Medium

This tool creates or modifies product data by adding a variation, which is a reversible write operation. It does not delete data (ruling out Destructive), execute arbitrary code (ruling out Execute), involve payments (ruling out Financial), or read-only access (ruling out Read).

From the tool's definition Tool name contains 'add' and description states 'Add a variation to a product', indicating creation of new data without deletion or financial transaction.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipedrive_add_product_variation 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_product_variation, this is the rule to start with:

pipedrive_add_product_variation Rate-limited

pipedrive_add_product_variation 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_product_variation": {
      "limits": [
        {
          "counter": "pipedrive_add_product_variation_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_product_variation call is checked against it from then on.

FAQ

Questions about pipedrive_add_product_variation

What does the pipedrive_add_product_variation tool do? +

Add a variation to a product. 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_product_variation? +

Register the Pipedrive MCP Server MCP server in PolicyLayer and add a rule for pipedrive_add_product_variation: 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_product_variation? +

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

Can I rate-limit pipedrive_add_product_variation? +

Yes. Add a rate_limit block to the pipedrive_add_product_variation 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_product_variation completely? +

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

pipedrive_add_product_variation 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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