Medium Risk

linear_create_issue

Create a Linear issue. Args: team_id: Linear team ID (get from linear_list_teams). title: Issue title. description: Issue description (Markdown). priority: 0=No priority, 1=Urgent, 2=High, 3=Medium, 4=Low.

How to control linear_create_issue ↓

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

Medium Risk

This tool creates a new issue in Linear, which is a reversible write operation. It does not execute arbitrary code, delete data, or involve financial transactions. The severity is medium because misuse could create spam or misleading issues in a team's project tracking system, affecting team workflows and communication, but the impact is contained to issue creation and can be corrected by deletion.

From the tool's definition Tool name 'linear_create_issue' and description 'Create a Linear issue' explicitly indicate creation of new data in Linear project management system. Arguments include team_id, title, description, and priority—all parameters for creating a new issue record.

Documented attack patterns abuse exactly the kind of access linear_create_issue gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and autoMate, and nothing reaches the server without passing your rules. This is the rule we recommend for linear_create_issue:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "linear_create_issue": {
      "limits": [
        {
          "counter": "linear_create_issue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

linear_create_issue 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.

  1. Create a free account and register autoMate — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the linear_create_issue tool do? +

Create a Linear issue. Args: team_id: Linear team ID (get from linear_list_teams). title: Issue title. description: Issue description (Markdown). priority: 0=No priority, 1=Urgent, 2=High, 3=Medium, 4=Low. It is categorised as a Write tool in the autoMate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on linear_create_issue? +

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

What risk level is linear_create_issue? +

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

Can I rate-limit linear_create_issue? +

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

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

linear_create_issue is provided by the autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every autoMate tool call.

Deterministic rules across all 128 autoMate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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128 autoMate tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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