execute_unit_tests
AI agents invoke execute_unit_tests to trigger actions in Iris Execute. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Unit test execution runs arbitrary test code against a system, which can have side effects depending on what the tests do (database modifications, API calls, external system interactions). While tests are typically intended to be read-only validations, they execute code and their effects depend on test implementation.
From the tool's definition Tool name 'execute_unit_tests' paired with server description mentioning 'unit testing with a fast DirectTestRunner' and sibling tools like 'execute_command' and 'execute_classmethod' that clearly execute code.
Attacks that exploit this kind of access
execute_unit_tests. It is categorised as a Execute tool in the Iris Execute MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iris Execute MCP server in PolicyLayer and add a rule for execute_unit_tests: 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 Iris Execute. Nothing to install.
execute_unit_tests is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_unit_tests 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 execute_unit_tests. 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.
execute_unit_tests is provided by the Iris Execute MCP server (jbrandtmse/iris-execute-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.
Teams ship this data inside their own products. See what a licence covers →