This record as markdown: /tools/linear/create-project.md
What create_project does on Linear
AI agents use create_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.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | A descriptive name of the project |
leadId | string | — | The UUID of the user to set as project lead |
teamId | string | — | The UUID of the team to associate the project with |
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 create_project is rated Medium
This tool creates new data (a project) in Linear, which is a reversible write operation. It does not execute arbitrary code, delete data permanently, or involve financial transactions. The severity is medium because creating projects could clutter the workspace or affect team organization, but the impact is limited in scope and can be remedied by deleting the project.
From the tool's definition Tool name is 'create_project' and description states 'Create a new project in Linear', which is a create operation that modifies the state of the Linear workspace by adding a new project.
Attacks that exploit this kind of access
The rule that runs create_project safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linear, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_project, this is the rule to start with:
create_project 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 Linear, apply this rule, and every create_project call is checked against it from then on.
Questions about create_project
Create a new project in Linear. 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.
create_project accepts 8 parameters: name, leadId, teamId, summary, labelIds, startDate, targetDate, description. The full parameter table on this page comes from the server's own tool schema.
Register the Linear MCP server in PolicyLayer and add a rule for create_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.
create_project 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 create_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.
Set action: deny in the PolicyLayer policy for create_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.
create_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.
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