Get full test execution results with pagination support. Returns complete test execution summary including testCases array grouped by table. IMPORTANT: Pagination applies to test tables (not individual test cases). Each page returns test results aggregated by table (e.g.,
AI agents call get_test_results to retrieve information from Openl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns test execution results with pagination. It performs a query/fetch operation with no side effects, data modification, or code execution. The absence of mutation keywords (create, update, delete, deploy, execute) and the explicit mention of 'Get' and 'Returns' in the description confirm this is a Read operation with minimal blast radius.
From the tool's definition Tool description states 'Get full test execution results with pagination support' and 'Returns complete test execution summary' — retrieves and queries test data without modification. No create, update, delete, or execute operations indicated.
Attacks that exploit this kind of access
Get full test execution results with pagination support. Returns complete test execution summary including testCases array grouped by table. IMPORTANT: Pagination applies to test tables (not individual test cases). Each page returns test results aggregated by table (e.g.,. It is categorised as a Read tool in the Openl MCP Server, which means it retrieves data without modifying state.
Register the Openl MCP server in PolicyLayer and add a rule for get_test_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 Openl. Nothing to install.
get_test_results 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_test_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.
Set action: deny in the PolicyLayer policy for get_test_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.
get_test_results is provided by the Openl MCP server (openl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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