pipedrive_update_pipeline
Update an existing pipeline. Provide the pipeline id and any fields to change.
This record as markdown: /tools/ckalima-pipedrive-mcp-server/pipedrive-update-pipeline.md
What pipedrive_update_pipeline does on Pipedrive MCP Server
AI agents use pipedrive_update_pipeline 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.
Why pipedrive_update_pipeline is rated Medium
This tool creates or modifies data reversibly by updating pipeline configuration. It is not destructive (does not delete or irreversibly remove data), does not execute arbitrary code, and does not involve financial transactions. The blast radius is medium because incorrect pipeline updates could disrupt sales workflows and reporting, but changes are reversible.
From the tool's definition Tool name 'pipedrive_update_pipeline' and description 'Update an existing pipeline. Provide the pipeline id and any fields to change.' explicitly describes modifying existing data in the Pipedrive CRM system.
Attacks that exploit this kind of access
The rule that runs pipedrive_update_pipeline 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_pipeline, this is the rule to start with:
pipedrive_update_pipeline 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pipedrive MCP Server, apply this rule, and every pipedrive_update_pipeline call is checked against it from then on.
Questions about pipedrive_update_pipeline
Update an existing pipeline. Provide the pipeline id and any fields to change. 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.
Register the Pipedrive MCP Server MCP server in PolicyLayer and add a rule for pipedrive_update_pipeline: 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.
pipedrive_update_pipeline is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the pipedrive_update_pipeline 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.
Set action: deny in the PolicyLayer policy for pipedrive_update_pipeline. 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.
pipedrive_update_pipeline 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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