Get all sprints from a board. Can filter by state (active, future, closed). Returns sprint names and dates.
AI agents call jira_get_sprints_from_board to retrieve information from Atlassian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation that retrieves and lists sprint data without creating, modifying, deleting, or executing any side effects. The filters are passive selection criteria. Unauthorized access could expose project planning information, but the impact is minimal compared to write or destructive operations.
From the tool's definition Tool retrieves sprint information ('Get all sprints from a board', 'Returns sprint names and dates') with optional filtering by state, with no modification or deletion capability.
Documented attack patterns abuse exactly the kind of access jira_get_sprints_from_board 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_get_sprints_from_board:
{
"version": "1",
"default": "deny",
"tools": {
"jira_get_sprints_from_board": {}
}
}jira_get_sprints_from_board is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all sprints from a board. Can filter by state (active, future, closed). Returns sprint names and dates. It is categorised as a Read tool in the Atlassian MCP Server, which means it retrieves data without modifying state.
Register the Atlassian MCP server in PolicyLayer and add a rule for jira_get_sprints_from_board: 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_get_sprints_from_board is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the jira_get_sprints_from_board 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_get_sprints_from_board. 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_get_sprints_from_board 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.