AI agents call testmo_get_case to retrieve information from Testmo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing test case data without creating, modifying, deleting, or executing any operations. It is purely informational and poses minimal risk if called by an AI agent, as it only exposes data the user already has access to within Testmo.
From the tool's definition Tool name contains 'get' and description states 'Get full details of a specific test case' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get full details of a specific test case, including custom fields and Gherkin scenarios. It is categorised as a Read tool in the Testmo MCP Server, which means it retrieves data without modifying state.
Register the Testmo MCP server in PolicyLayer and add a rule for testmo_get_case: 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 Testmo. Nothing to install.
testmo_get_case 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 testmo_get_case 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 testmo_get_case. 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.
testmo_get_case is provided by the Testmo MCP server (strelec00/testmo-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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