assign_issue_to_milestone

Assign an issue to a milestone or remove it from its current milestone

SERVERLinear Kanban Server SOURCE0xikarus/linear-kanban-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/0xikarus-linear-kanban-mcp/assign-issue-to-milestone.md

WHAT IT DOES

What assign_issue_to_milestone does on Linear Kanban Server

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

RISK

Why assign_issue_to_milestone is rated Medium

This tool creates or modifies data relationships (issue-to-milestone associations) without deleting anything. The operation is reversible: assignments can be changed or removed. It does not execute external code, move money, or permanently destroy data.

From the tool's definition Tool description states 'Assign an issue to a milestone or remove it from its current milestone' — this modifies the milestone association of an issue, changing metadata reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs assign_issue_to_milestone safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Linear Kanban Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For assign_issue_to_milestone, this is the rule to start with:

assign_issue_to_milestone Rate-limited

assign_issue_to_milestone 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "assign_issue_to_milestone": {
      "limits": [
        {
          "counter": "assign_issue_to_milestone_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Linear Kanban Server, apply this rule, and every assign_issue_to_milestone call is checked against it from then on.

FAQ

Questions about assign_issue_to_milestone

What does the assign_issue_to_milestone tool do? +

Assign an issue to a milestone or remove it from its current milestone. It is categorised as a Write tool in the Linear Kanban Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on assign_issue_to_milestone? +

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

What risk level is assign_issue_to_milestone? +

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

Can I rate-limit assign_issue_to_milestone? +

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

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

assign_issue_to_milestone is provided by the Linear Kanban Server MCP server (0xikarus/linear-kanban-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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