Search the query in Google in the current tab. Args: query (str): The search query to use in Google Returns: str: A message confirming the search was performed
AI agents invoke search_google to trigger actions in Mcp Browser Use. 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.
While the intent is informational retrieval, this tool executes a browser action (performing a Google search in an active tab), which constitutes an external operation with side effects on browser state. It belongs to Execute rather than Read because it drives browser automation rather than passively querying an internal data store.
From the tool's definition 'Search the query in Google in the current tab' — triggers an external browser operation (navigating/executing a Google search) in a live browser session
Documented attack patterns abuse exactly the kind of access search_google gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Browser Use, and nothing reaches the server without passing your rules. This is the rule we recommend for search_google:
{
"version": "1",
"default": "deny",
"tools": {
"search_google": {
"limits": [
{
"counter": "search_google_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} search_google 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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Search the query in Google in the current tab. Args: query (str): The search query to use in Google Returns: str: A message confirming the search was performed. It is categorised as a Execute tool in the Mcp Browser Use MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Browser Use MCP server in PolicyLayer and add a rule for search_google: 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 Mcp Browser Use. Nothing to install.
search_google 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 search_google 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 search_google. 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.
search_google is provided by the Mcp Browser Use MCP server (vinayak-mehta/mcp-browser-use). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 19 Mcp Browser Use tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
19 Mcp Browser Use tools catalogued and risk-classified — across an index of 42,500+ MCP servers.