batch_search_google
AI agents call batch_search_google to retrieve information from Crawl4AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs batch Google searches, which retrieves search results from an external service. No side effects, modifications, or external actions are triggered—it only reads and returns search data. This aligns with the Read category. Severity is low because search queries have minimal blast radius; an AI agent querying Google poses no direct harm to systems or data.
From the tool's definition Tool name 'batch_search_google' combined with sibling tool 'get_search_genres' and server's 'Google search integration' capability indicates querying external search engine. Empty description weakens confidence.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
batch_search_google. It is categorised as a Read tool in the Crawl4AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Crawl4AI MCP Server MCP server in PolicyLayer and add a rule for batch_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 Crawl4AI MCP Server. Nothing to install.
batch_search_google 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 batch_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 batch_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.
batch_search_google is provided by the Crawl4AI MCP Server MCP server (sruckh/crawl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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