AI agents call get_test_set to retrieve information from Mxray without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries test set information from Jira Cloud's Xray plugin without any side effects. It performs a read-only operation on test management data, posing minimal security risk even if misused by an agent, as it cannot modify, delete, or execute external operations.
From the tool's definition Tool name and description clearly indicate retrieval: 'Get details of a test set'. The verb 'get' and phrase 'including associated tests' describe data retrieval with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Get details of a test set, including associated tests if Xray is configured. It is categorised as a Read tool in the Mxray MCP Server, which means it retrieves data without modifying state.
Register the Mxray MCP server in PolicyLayer and add a rule for get_test_set: 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 Mxray. Nothing to install.
get_test_set 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_set 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_set. 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_set is provided by the Mxray MCP server (mxray-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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