add_results

Add multiple test results by test IDs

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

What add_results does on TestRail MCP Server

AI agents use add_results 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 add_results needs a policy

This tool creates new test result entries in TestRail, which is a reversible write operation. While it modifies the test management system state, results can be updated or deleted later. The blast radius is medium—an AI agent could incorrectly record test outcomes affecting project visibility and decision-making, but the changes are not permanent and can be corrected.

From the tool's definition Tool name 'add_results' and description 'Add multiple test results by test IDs' indicate creating/modifying test result records in TestRail.

Questions about add_results

What does the add_results tool do? +

Add multiple test results by test IDs. 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 add_results? +

Register the TestRail MCP Server MCP server in PolicyLayer and add a rule for add_results: 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 add_results? +

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

Can I rate-limit add_results? +

Yes. Add a rate_limit block to the add_results 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 add_results completely? +

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

add_results 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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