Searches Google Scholar for academic papers and scholarly articles. Use this tool when researching scientific topics, looking for peer-reviewed research, academic citations, or scholarly literature. Returns structured data including titles, authors, publication details, and citation counts. Ideal...
AI agents call search_scholar to retrieve information from MCP Web Research Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation against Google Scholar to retrieve scholarly article metadata. It has no side effects, does not execute code, does not modify data, and does not access restricted resources beyond what public search engines provide. The blast radius of misuse is minimal—an agent could retrieve irrelevant scholarly papers or waste API quota, but cannot cause harm through this tool alone.
From the tool's definition Tool description states it 'Searches Google Scholar' and 'Returns structured data including titles, authors, publication details, and citation counts.' The verb 'searches' and 'returns' indicate read-only retrieval of publicly available academic metadata with…
Documented attack patterns abuse exactly the kind of access search_scholar gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Web Research Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_scholar:
{
"version": "1",
"default": "deny",
"tools": {
"search_scholar": {}
}
}search_scholar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Searches Google Scholar for academic papers and scholarly articles. Use this tool when researching scientific topics, looking for peer-reviewed research, academic citations, or scholarly literature. Returns structured data including titles, authors, publication details, and citation counts. Ideal for academic research and evidence-based inquiries. It is categorised as a Read tool in the MCP Web Research Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Web Research Server MCP server in PolicyLayer and add a rule for search_scholar: 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 Web Research Server. Nothing to install.
search_scholar 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 search_scholar 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_scholar. 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_scholar is provided by the MCP Web Research Server MCP server (phialsbasement/mcp-webresearch-stealthified). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Web Research 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.
4 MCP Web Research Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.