Execute multiple Jira operations in a single call. Operations run sequentially with result references ($0.key) and per-operation error strategies (bail/continue). Powerful for analysis pipelines: create a filter, then run multiple analyze_jira_issues calls against $0.filterId with different group...
Part of the Jira Cloud server.
Free to start. No card required.
AI agents invoke queue_jira_operations to trigger processes or run actions in Jira Cloud. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
queue_jira_operations can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"queue_jira_operations": {
"limits": [
{
"counter": "queue_jira_operations_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Jira Cloud policy for all 17 tools.
These attack patterns abuse exactly the kind of access queue_jira_operations gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Execute multiple Jira operations in a single call. Operations run sequentially with result references ($0.key) and per-operation error strategies (bail/continue). Powerful for analysis pipelines: create a filter, then run multiple analyze_jira_issues calls against $0.filterId with different groupBy/compute — all in one call.. It is categorised as a Execute tool in the Jira Cloud MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jira Cloud MCP server in PolicyLayer and add a rule for queue_jira_operations: 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 Jira Cloud. Nothing to install.
queue_jira_operations is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the queue_jira_operations 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 queue_jira_operations. 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.
queue_jira_operations is provided by the Jira Cloud MCP server (@aaronsb/jira-cloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Jira Cloud tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.