update_milestone
Update an existing milestone
This record as markdown: /tools/0xikarus-linear-kanban-mcp/update-milestone.md
What update_milestone does on Linear Kanban Server
AI agents use update_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.
Why update_milestone is rated Medium
The tool modifies existing milestone data, which is reversible and non-destructive. While it can change milestone properties (dates, descriptions, status), these changes can be undone. The blast radius is limited to a single project's milestone tracking, affecting planning and organization rather than core business logic or financial operations.
From the tool's definition Tool name 'update_milestone' and description 'Update an existing milestone' indicate modification of existing data in a reversible manner. This is a classic Write operation that alters milestone properties without deletion or destruction.
Attacks that exploit this kind of access
The rule that runs update_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 update_milestone, this is the rule to start with:
update_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Linear Kanban Server, apply this rule, and every update_milestone call is checked against it from then on.
Questions about update_milestone
Update an existing 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.
Register the Linear Kanban Server MCP server in PolicyLayer and add a rule for update_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.
update_milestone 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 update_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.
Set action: deny in the PolicyLayer policy for update_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.
update_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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