Test timeout prevention by running for a specified duration
AI agents invoke timeout-test to trigger actions in Gemini CLI 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.
The tool executes a timed operation (runs for a specified duration), which constitutes an Execute action. It could be misused to cause resource exhaustion or denial-of-service by specifying very long durations, hence medium severity. Confidence is moderate because the description is vague about what exactly runs during the timeout test.
From the tool's definition 'Test timeout prevention by running for a specified duration' — the tool actively runs for a specified duration, implying execution of a timed operation or blocking process
Documented attack patterns abuse exactly the kind of access timeout-test gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini CLI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for timeout-test:
{
"version": "1",
"default": "deny",
"tools": {
"timeout-test": {
"limits": [
{
"counter": "timeout-test_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}timeout-test 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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Test timeout prevention by running for a specified duration. It is categorised as a Execute tool in the Gemini CLI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gemini CLI MCP Server MCP server in PolicyLayer and add a rule for timeout-test: 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 Gemini CLI MCP Server. Nothing to install.
timeout-test 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 timeout-test 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 timeout-test. 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.
timeout-test is provided by the Gemini CLI MCP Server MCP server (orzcls/gemini-mcp-tool-windows-fixed). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gemini CLI 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.
6 Gemini CLI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.