Get a user by email address
AI agents call get_user_by_email to retrieve information from TestRail MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward read operation that retrieves user information from TestRail by email. It queries existing data without creating, modifying, deleting, or executing any side effects. The operation is idempotent and returns information only.
From the tool's definition Tool name 'get_user_by_email' and description 'Get a user by email address' indicate a lookup/retrieval operation with no modification capability.
Attacks that exploit this kind of access
Get a user by email address. It is categorised as a Read tool in the TestRail MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TestRail MCP Server MCP server in PolicyLayer and add a rule for get_user_by_email: 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 MCP Server. Nothing to install.
get_user_by_email 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_user_by_email 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_user_by_email. 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_user_by_email is provided by the TestRail MCP Server MCP server (tenbarrel6/testrail-mcp). 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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