Reopen a closed issue. dry_run=true by default.
AI agents use reopen_issue to create or update resources in Mcp Gitlab — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Gitlab environment.
Reopening an issue is a state modification that changes existing data (issue status) but remains reversible—the issue can be closed again. This falls squarely within the Write category.
From the tool's definition The tool description states it will "Reopen a closed issue," which modifies the state of an existing issue by changing its status from closed to open. This is a reversible modification of data, not a destructive operation.
Attacks that exploit this kind of access
Reopen a closed issue. dry_run=true by default. It is categorised as a Write tool in the Mcp Gitlab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Gitlab MCP server in PolicyLayer and add a rule for reopen_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 Gitlab. Nothing to install.
reopen_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 reopen_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 reopen_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.
reopen_issue is provided by the Mcp Gitlab MCP server (wanadev/gitlab-mcp). 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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