AI agents use jira_create_issue to create or update resources in autoMate — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your autoMate environment.
Creating an issue in Jira is a write operation that creates data reversibly. It does not execute arbitrary code, delete data irreversibly, or move financial resources. The blast radius is medium because an agent could create numerous low-priority issues, spam the Jira instance, or clutter the workspace, but the action itself is reversible through deletion.
From the tool's definition Tool name is 'jira_create_issue' indicating it creates an issue in Jira. The description is empty, but the name and context of a SaaS integration server strongly suggest this tool creates or adds a new issue record, a reversible 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 autoMate, 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 autoMate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the autoMate 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 autoMate. 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 autoMate MCP server (yuruotong1/automate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 128 autoMate tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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128 autoMate tools catalogued and risk-classified — across an index of 42,500+ MCP servers.