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update_project

Update an existing Linear project

SERVERLinear SOURCE@linear-mcp-server
Medium RISK CLASS
Category Write
Parameters 80 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity verified Pull the record →

This record as markdown: /tools/linear/update-project.md

What update_project does on Linear

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

ParameterTypeRequiredDescription
id string The ID of the project to update
name string The new name of the project
leadId string The UUID of the user to set as project lead
summary string A concise plaintext summary of the project (max 255 chars)
labelIds array Array of label UUIDs to set on the project
startDate string The start date of the project in ISO format
targetDate string The target date of the project in ISO format
description string The full project description in Markdown format

Parameters from the server's own tool schema.

Why update_project is rated Medium

This tool modifies an existing project rather than creating or deleting it. The change is reversible since updates can be undone through subsequent modifications. The severity is medium because unintended project updates could disrupt team workflows, visibility, or project settings, but the changes themselves are not irreversible.

From the tool's definition Tool name is 'update_project' and description states 'Update an existing Linear project' - both indicate modification of existing data (project configuration, settings, metadata, etc.).

Questions about update_project

What does the update_project tool do? +

Update an existing Linear project. It is categorised as a Write tool in the Linear MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does update_project accept? +

update_project accepts 8 parameters: id, name, leadId, summary, labelIds, startDate, targetDate, description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_project? +

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

What risk level is update_project? +

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

Can I rate-limit update_project? +

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

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

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

More on Linear, and thousands of servers like it.

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PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Linear's. Pull the full record:

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