Get detailed information about a specific test execution by ID or key. On Cloud, provide the execution ID or key (e.g., PROJ-E123) directly. On Data Center, also provide test_run_keys to search within.
AI agents call get_test_execution to retrieve information from Zephyr Scale MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation to retrieve test execution details. It does not create, modify, delete, or execute any operations. The 'get' prefix and retrieval-focused description confirm it is a Read category tool with low severity, as accessing test execution metadata poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_test_execution' and description states 'Get detailed information about a specific test execution by ID or key' — retrieves data with no modification or side effects.
Attacks that exploit this kind of access
Get detailed information about a specific test execution by ID or key. On Cloud, provide the execution ID or key (e.g., PROJ-E123) directly. On Data Center, also provide test_run_keys to search within. It is categorised as a Read tool in the Zephyr Scale MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Zephyr Scale MCP Server MCP server in PolicyLayer and add a rule for get_test_execution: 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 Zephyr Scale MCP Server. Nothing to install.
get_test_execution 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_execution 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_execution. 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_execution is provided by the Zephyr Scale MCP Server MCP server (milo0821/zephyr_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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