AI agents use jira_create_issue to create or update resources in MCP Atlassian — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Atlassian environment.
Creating a Jira issue is a reversible write operation that adds new data to the system. An AI agent misusing this tool could create spurious or malicious issues, polluting the project tracking system, assigning work incorrectly, or spamming teams with false alerts—justifying medium severity. It is not destructive (issues can be deleted), does not execute arbitrary code, and has no financial impact.
From the tool's definition Tool name 'jira_create_issue' combined with server context (MCP Atlassian for Jira issue tracking) indicates creation of new issues. The empty description reduces confidence slightly but the name and context clearly indicate a write operation.
Documented attack patterns abuse exactly the kind of access jira_create_issue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Atlassian, and nothing reaches the server without passing your rules. This is the rule we recommend for jira_create_issue:
{
"version": "1",
"default": "deny",
"tools": {
"jira_create_issue": {
"limits": [
{
"counter": "jira_create_issue_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}jira_create_issue 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.
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jira_create_issue. It is categorised as a Write tool in the MCP Atlassian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Atlassian MCP server in PolicyLayer and add a rule for jira_create_issue: 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 MCP Atlassian. Nothing to install.
jira_create_issue 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_create_issue 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_create_issue. 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_create_issue is provided by the MCP Atlassian MCP server (samwang0723/mcp-atlassian). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP 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.
20 MCP Atlassian tools catalogued and risk-classified — across an index of 43,000+ MCP servers.