Close test run
AI agents use close_run to create or update resources in TestRail MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TestRail MCP Server environment.
Closing a test run changes its state from open to closed, which is a reversible modification (runs can typically be reopened). This is a write operation that alters data but preserves it.
From the tool's definition Tool name 'close_run' and description 'Close test run' indicate a state-change operation on a test run object in TestRail. Closing a run modifies its status/state but does not delete data irreversibly.
Attacks that exploit this kind of access
Close test run. It is categorised as a Write tool in the TestRail MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TestRail MCP Server 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 MCP Server. Nothing to install.
close_run 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 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.
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.
close_run is provided by the TestRail MCP Server MCP server (samuelvinay91/testrail-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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