AI agents invoke research_deep_max to trigger actions in Gemini Research 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 description is empty, so classification relies on the tool name and server context. Sibling tool 'research_deep' suggests deep autonomous research, which involves executing web searches and autonomous browsing/extraction actions. 'research_deep_max' likely represents a more intensive version of that. Autonomous research can trigger external operations and consume significant resources, placing it in Execute.
From the tool's definition Tool name 'research_deep_max' on a server providing 'deep autonomous research'; description is empty or uninformative.
Documented attack patterns abuse exactly the kind of access research_deep_max gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Research MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for research_deep_max:
{
"version": "1",
"default": "deny",
"tools": {
"research_deep_max": {
"limits": [
{
"counter": "research_deep_max_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}research_deep_max 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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research_deep_max. It is categorised as a Execute tool in the Gemini Research MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gemini Research MCP Server MCP server in PolicyLayer and add a rule for research_deep_max: 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 Research MCP Server. Nothing to install.
research_deep_max 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 research_deep_max 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 research_deep_max. 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.
research_deep_max is provided by the Gemini Research MCP Server MCP server (machinemates-ai/gemini-research-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gemini Research 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.
11 Gemini Research MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.