pipedrive_update_task

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-update-task.md

WHAT IT DOES

What pipedrive_update_task does on Pipedrive MCP Server

AI agents use pipedrive_update_task 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_update_task is rated Medium

This tool modifies existing task records in Pipedrive but does not delete or destroy data (reversible operation), nor does it execute arbitrary code or move money. It fits the Write category as it updates task fields like is_done, is_milestone, and due_date.

From the tool's definition Tool name 'pipedrive_update_task' and description 'Update an existing task' indicate modification of data. The parameter note 'Only id is required; all other fields are optional' confirms this creates reversible changes to task records.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipedrive_update_task 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_update_task, this is the rule to start with:

pipedrive_update_task Rate-limited

pipedrive_update_task 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_update_task": {
      "limits": [
        {
          "counter": "pipedrive_update_task_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_update_task call is checked against it from then on.

FAQ

Questions about pipedrive_update_task

What does the pipedrive_update_task tool do? +

Update an existing task. Only id is required; all other fields are optional. Use boolean is_done/is_milestone (same field names as the GET response); a milestone task must have a due_date. (Projects add-on; Projects API in public beta.). 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_update_task? +

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

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

Can I rate-limit pipedrive_update_task? +

Yes. Add a rate_limit block to the pipedrive_update_task 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_update_task completely? +

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

pipedrive_update_task 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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