Executes a single test iteration with monitoring.
AI agents invoke run_test_iteration to trigger actions in MockLoop MCP Server. 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.
This tool triggers execution of test code, making it an Execute category risk rather than Read or Write. The severity is medium because test execution has a defined scope (single iteration, monitoring context) and typically operates within isolated test environments rather than production systems.
From the tool's definition Tool name 'run_test_iteration' and description 'Executes a single test iteration with monitoring' indicate active execution of test code.
Documented attack patterns abuse exactly the kind of access run_test_iteration gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MockLoop MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_test_iteration:
{
"version": "1",
"default": "deny",
"tools": {
"run_test_iteration": {
"limits": [
{
"counter": "run_test_iteration_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_test_iteration stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Executes a single test iteration with monitoring. It is categorised as a Execute tool in the MockLoop MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MockLoop MCP Server MCP server in PolicyLayer and add a rule for run_test_iteration: 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 MockLoop MCP Server. Nothing to install.
run_test_iteration 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 run_test_iteration 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 run_test_iteration. 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.
run_test_iteration is provided by the MockLoop MCP Server MCP server (mockloop/mockloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MockLoop MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
30 MockLoop MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.