AI agents call get_execution_status to retrieve information from OpenTester without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves status information and results from executed tests via a FastAPI endpoint. It performs a read-only query of test execution data without creating, modifying, deleting, or triggering any new operations. The verb 'Get' and lack of any modification language confirm this is a Read category tool with low severity since an agent misuse would only expose existing test data, not cause operational harm.
From the tool's definition Tool name is 'get_execution_status' and description states it 'Get[s] execution status and results' - both indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_execution_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenTester, and nothing reaches the server without passing your rules. This is the rule we recommend for get_execution_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_execution_status": {}
}
}get_execution_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get execution status and results via FastAPI. It is categorised as a Read tool in the OpenTester MCP Server, which means it retrieves data without modifying state.
Register the OpenTester MCP server in PolicyLayer and add a rule for get_execution_status: 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 OpenTester. Nothing to install.
get_execution_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_execution_status 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 get_execution_status. 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.
get_execution_status is provided by the OpenTester MCP server (kznr02/opentester). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenTester, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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23 OpenTester tools catalogued and risk-classified — across an index of 43,000+ MCP servers.