prepare_run_summary · Testrail MCP: Risk & Policy

WHAT IT DOES

What prepare_run_summary does on Testrail

AI agents invoke prepare_run_summary to trigger actions in Testrail. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why prepare_run_summary needs a policy

prepare_run_summary triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

prepare_run_summary Rate-limited

prepare_run_summary stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "prepare_run_summary": {
      "limits": [
        {
          "counter": "prepare_run_summary_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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, so you can run agents against it safely.

FAQ

Questions about prepare_run_summary

What does the prepare_run_summary tool do? +

prepare_run_summary. It is categorised as a Execute tool in the Testrail MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on prepare_run_summary? +

Register the Testrail MCP server in PolicyLayer and add a rule for prepare_run_summary: 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 prepare_run_summary? +

prepare_run_summary is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit prepare_run_summary? +

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

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

prepare_run_summary 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.