Medium Risk

linear_updateReleaseStage

Update an existing release stage. Provide id plus at least one other field to change.

How to control linear_updateReleaseStage ↓

AI agents use linear_updateReleaseStage 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.

Medium Risk

This tool modifies existing release stage data in Linear, which is a reversible write operation. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely retrieve data (Read). The severity is medium because incorrect updates could impact project planning and release management, but changes can typically be reverted.

From the tool's definition Tool name 'linear_updateReleaseStage' and description 'Update an existing release stage' indicates modification of existing data. The phrase 'Provide id plus at least one other field to change' confirms it alters release stage records.

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

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

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

linear_updateReleaseStage 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 Linear — 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_updateReleaseStage tool do? +

Update an existing release stage. Provide id plus at least one other field to change. 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.

How do I enforce a policy on linear_updateReleaseStage? +

Register the Linear MCP server in PolicyLayer and add a rule for linear_updateReleaseStage: 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 linear_updateReleaseStage? +

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

Can I rate-limit linear_updateReleaseStage? +

Yes. Add a rate_limit block to the linear_updateReleaseStage 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_updateReleaseStage completely? +

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

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

Enforce policy on every Linear tool call.

Deterministic rules across all 182 Linear tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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