Answers a natural language query using the configured Vertex AI model (${modelIdPlaceholder}) enhanced with Google Search results for up-to-date information. Requires a
AI agents call answer_query_websearch to retrieve information from Google AI Search MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information from Google Search and the configured Vertex AI model to provide answers. It performs information lookup with no side effects, no code execution capability, and no data modification. The 'websearch' component indicates real-time information retrieval, which is fundamentally a Read operation.
From the tool's definition Tool description states it 'Answers a natural language query' and is 'enhanced with Google Search results' — core operations are search and retrieval. No mutation, execution, deletion, or financial operations are described.
Attacks that exploit this kind of access
Answers a natural language query using the configured Vertex AI model (${modelIdPlaceholder}) enhanced with Google Search results for up-to-date information. Requires a. It is categorised as a Read tool in the Google AI Search MCP MCP Server, which means it retrieves data without modifying state.
Register the Google AI Search MCP server in PolicyLayer and add a rule for answer_query_websearch: 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 Google AI Search MCP. Nothing to install.
answer_query_websearch is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the answer_query_websearch 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 answer_query_websearch. 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.
answer_query_websearch is provided by the Google AI Search MCP server (shariqriazz/google-ai-search-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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