AI agents call jira_get_sprint_issues to retrieve information from Sage MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns sprint issues from Jira without modifying, deleting, or executing any operations. It is a straightforward read operation that retrieves existing data. The low severity reflects minimal blast radius — an AI agent misusing this would at worst retrieve unintended sprint information, but cannot corrupt or destroy data.
From the tool's definition Tool name contains 'get' and description states 'Get all issues in a sprint' — retrieves data with no side effects.
Documented attack patterns abuse exactly the kind of access jira_get_sprint_issues gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sage MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for jira_get_sprint_issues:
{
"version": "1",
"default": "deny",
"tools": {
"jira_get_sprint_issues": {}
}
}jira_get_sprint_issues 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 issues in a sprint. It is categorised as a Read tool in the Sage MCP MCP Server, which means it retrieves data without modifying state.
Register the Sage MCP server in PolicyLayer and add a rule for jira_get_sprint_issues: 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 Sage MCP. Nothing to install.
jira_get_sprint_issues 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_sprint_issues 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_sprint_issues. 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_sprint_issues is provided by the Sage MCP server (sagemcp/sagemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 359 Sage MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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359 Sage MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.