close_run

Mark a test run as completed/archived. This is irreversible in TestRail.

Server Testrail sergey-bl/testrail-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What close_run does on Testrail

AI agents call close_run to permanently remove resources in Testrail — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why close_run needs a policy

Although 'close_run' does not delete data in the traditional sense, it irreversibly transitions a test run to a terminal state (archived/completed), preventing further modifications and effectively removing it from active use.

From the tool's definition The description explicitly states the action is 'irreversible in TestRail' and involves marking a test run as 'completed/archived,' which permanently changes the state of a test run artifact and cannot be undone.

Questions about close_run

What does the close_run tool do? +

Mark a test run as completed/archived. This is irreversible in TestRail. It is categorised as a Destructive tool in the Testrail MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on close_run? +

Register the Testrail MCP server in PolicyLayer and add a rule for close_run: 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 Testrail. Nothing to install.

What risk level is close_run? +

close_run is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit close_run? +

Yes. Add a rate_limit block to the close_run 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.

How do I block close_run completely? +

Set action: deny in the PolicyLayer policy for close_run. 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.

What MCP server provides close_run? +

close_run is provided by the Testrail MCP server (sergey-bl/testrail-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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