Move issues to a sprint. This is essential for sprint planning - add issues from backlog to sprint.
AI agents use jira_move_issues_to_sprint to create or update resources in Atlassian — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Atlassian environment.
This tool modifies issue state by relocating them between sprints/backlog, which is a reversible data change. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or trigger external side effects beyond Jira's internal state management.
From the tool's definition Tool name: 'jira_move_issues_to_sprint'. Description: 'Move issues to a sprint' - a modification action that updates issue state/sprint assignment.
Documented attack patterns abuse exactly the kind of access jira_move_issues_to_sprint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Atlassian, and nothing reaches the server without passing your rules. This is the rule we recommend for jira_move_issues_to_sprint:
{
"version": "1",
"default": "deny",
"tools": {
"jira_move_issues_to_sprint": {
"limits": [
{
"counter": "jira_move_issues_to_sprint_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} jira_move_issues_to_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.
Free to start. No card required.
Move issues to a sprint. This is essential for sprint planning - add issues from backlog to sprint. It is categorised as a Write tool in the Atlassian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Atlassian MCP server in PolicyLayer and add a rule for jira_move_issues_to_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 Atlassian. Nothing to install.
jira_move_issues_to_sprint 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 jira_move_issues_to_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.
Set action: deny in the PolicyLayer policy for jira_move_issues_to_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.
jira_move_issues_to_sprint is provided by the Atlassian MCP server (xuanxt/atlassian-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Atlassian, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
51 Atlassian tools catalogued and risk-classified — across an index of 43,000+ MCP servers.