close_plan

Close a test plan

Server TestRail MCP Server tenbarrel6/testrail-mcp
Category Write
Risk class Medium
Parameters 00 required

What close_plan does on TestRail MCP Server

AI agents use close_plan 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.

Why close_plan needs a policy

Closing a plan changes its state reversibly—it can typically be reopened or the change undone through other operations. This is a write operation (modifying data) rather than destructive (permanent deletion). The blast radius is medium because it affects test plan workflow and visibility for team members, but the action remains reversible.

From the tool's definition Tool name 'close_plan' and description 'Close a test plan' indicate a state change operation on a TestRail plan resource. This modifies plan status/metadata but does not delete or destroy the plan irreversibly.

Questions about close_plan

What does the close_plan tool do? +

Close a test plan. 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.

How do I enforce a policy on close_plan? +

Register the TestRail MCP Server MCP server in PolicyLayer and add a rule for close_plan: 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.

What risk level is close_plan? +

close_plan is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit close_plan? +

Yes. Add a rate_limit block to the close_plan 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_plan completely? +

Set action: deny in the PolicyLayer policy for close_plan. 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_plan? +

close_plan is provided by the TestRail MCP Server MCP server (tenbarrel6/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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