AI agents invoke jira_transition_issue to trigger actions in autoMate. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Transitioning a Jira issue triggers an external workflow operation that changes the state of a record in an external system. This is best classified as Execute because it triggers an external operation with effects that depend on the arguments (which transition to apply). The description is empty, reducing confidence, but the name strongly implies a workflow state change action rather than a simple write or read.
From the tool's definition Tool name 'jira_transition_issue' — 'transition' implies triggering a workflow state change in Jira (e.g., move issue from Open to In Progress or Closed).
Documented attack patterns abuse exactly the kind of access jira_transition_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_transition_issue:
{
"version": "1",
"default": "deny",
"tools": {
"jira_transition_issue": {
"limits": [
{
"counter": "jira_transition_issue_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}jira_transition_issue stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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jira_transition_issue. It is categorised as a Execute tool in the autoMate MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the autoMate MCP server in PolicyLayer and add a rule for jira_transition_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_transition_issue 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 jira_transition_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_transition_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_transition_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.