add_result · TestRail MCP Server MCP: Risk & Policy

WHAT IT DOES

What add_result does on TestRail MCP Server

AI agents use add_result 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 IT NEEDS A POLICY

Why add_result needs a policy

The tool creates new test result entries in TestRail, which modifies the test management system state. While this is a write operation (not destructive, as results can be modified or deleted later), the blast radius is medium because incorrect test results could mislead teams about test coverage and quality metrics, potentially affecting release decisions.

From the tool's definition Tool name 'add_result' and description 'Add a test result' indicate creation of new test result data in TestRail. This is a write operation that creates new records reversibly (results can be updated or removed).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_result Rate-limited

add_result stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_result": {
      "limits": [
        {
          "counter": "add_result_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches TestRail MCP Server, so you can run agents against it safely.

FAQ

Questions about add_result

What does the add_result tool do? +

Add a test result. 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_result? +

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

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

Can I rate-limit add_result? +

Yes. Add a rate_limit block to the add_result 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_result completely? +

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

add_result 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.