Get all issues on a specific board. Can filter with JQL. Returns issue keys and summaries.
AI agents call jira_get_board_issues 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 retrieves and queries existing Jira board data without creating, modifying, deleting, or executing operations. The JQL filtering capability is a query enhancement, not a side effect. It falls squarely into the Read category with low severity since unauthorized access to issue metadata poses minimal direct risk compared to write or destructive operations.
From the tool's definition Tool name 'jira_get_board_issues' and description 'Get all issues on a specific board' and 'Returns issue keys and summaries' indicate retrieval-only operations with no modifications.
Documented attack patterns abuse exactly the kind of access jira_get_board_issues 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_board_issues:
{
"version": "1",
"default": "deny",
"tools": {
"jira_get_board_issues": {}
}
}jira_get_board_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 on a specific board. Can filter with JQL. Returns issue keys and summaries. 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_board_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 Atlassian. Nothing to install.
jira_get_board_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_board_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_board_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_board_issues 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.