Assign a Jira issue by its key (e.g., 'KAN-7') and account id.
AI agents use assign_jira_issue to create or update resources in Enterprise AI Bridge (MCP) — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enterprise AI Bridge (MCP) environment.
Assigning an issue to a user modifies project data reversibly. The assignee can be changed again, making this a Write operation rather than Destructive. Severity is medium because misuse could reassign critical work inappropriately, disrupting team workflow, but the action is not financial and is easily reversible.
From the tool's definition Tool name 'assign_jira_issue' and description 'Assign a Jira issue by its key... and account id' indicate modifying issue metadata (assignment) without deletion or irreversible change.
Attacks that exploit this kind of access
Assign a Jira issue by its key (e.g., 'KAN-7') and account id. It is categorised as a Write tool in the Enterprise AI Bridge (MCP) MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Enterprise AI Bridge (MCP) MCP server in PolicyLayer and add a rule for assign_jira_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 Enterprise AI Bridge (MCP). Nothing to install.
assign_jira_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 assign_jira_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 assign_jira_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.
assign_jira_issue is provided by the Enterprise AI Bridge (MCP) MCP server (olegvasilievcs/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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