close_sprint · Raalarcon Jira MCP: Risk & Policy

WHAT IT DOES

What close_sprint does on Raalarcon Jira

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

WHY IT NEEDS A POLICY

Why close_sprint needs a policy

Closing a sprint changes its state to 'closed' and triggers downstream effects (moving incomplete issues to backlog or next sprint). While impactful and not trivially undone, Jira does allow sprints to be reopened in some configurations, so this is best classified as Write rather than Destructive. Severity is high due to the broad organizational impact on team workflow and issue tracking.

From the tool's definition 'Close and complete a sprint' — closing a sprint is a state transition that finalizes the sprint and moves incomplete issues, which is a significant but potentially reversible write operation in Jira agile boards

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

close_sprint Rate-limited

close_sprint 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": {
    "close_sprint": {
      "limits": [
        {
          "counter": "close_sprint_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Raalarcon Jira, so you can run agents against it safely.

FAQ

Questions about close_sprint

What does the close_sprint tool do? +

Close and complete a sprint. This action requires the sprint to be in the. It is categorised as a Write tool in the Raalarcon Jira MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on close_sprint? +

Register the Raalarcon Jira MCP server in PolicyLayer and add a rule for close_sprint: 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 Raalarcon Jira. Nothing to install.

What risk level is close_sprint? +

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

Can I rate-limit close_sprint? +

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

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

close_sprint is provided by the Raalarcon Jira MCP server (raalarcon-jira-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.