Search Google Scholar by title and return normalized paper metadata results.
AI agents call search_scholar_papers to retrieve information from UniArticles MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a search operation to retrieve academic paper metadata from Google Scholar. This is a read-only operation with no side effects—it does not modify data, execute code, delete resources, or commit financial obligations. The search and metadata retrieval capabilities align with the 'Read' category.
From the tool's definition Tool description states 'Search Google Scholar by title and return normalized paper metadata results.' This is a query operation that retrieves and returns metadata without modifying, deleting, or executing any external code.
Documented attack patterns abuse exactly the kind of access search_scholar_papers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and UniArticles MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_scholar_papers:
{
"version": "1",
"default": "deny",
"tools": {
"search_scholar_papers": {}
}
}search_scholar_papers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search Google Scholar by title and return normalized paper metadata results. It is categorised as a Read tool in the UniArticles MCP Server MCP Server, which means it retrieves data without modifying state.
Register the UniArticles MCP Server MCP server in PolicyLayer and add a rule for search_scholar_papers: 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 UniArticles MCP Server. Nothing to install.
search_scholar_papers 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_papers 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_papers. 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_papers is provided by the UniArticles MCP Server MCP server (thinktraveller/uniarticles_mcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from UniArticles 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.
15 UniArticles MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.