Search Google Scholar using keywords and return paper metadata.
AI agents call search_google_scholar_key_words to retrieve information from ScholarMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries Google Scholar and retrieves bibliographic information without creating, modifying, deleting, or executing operations. It is a passive information retrieval operation, posing minimal risk even if an AI agent misuses the keywords, as the worst case is irrelevant or excessive search queries, not data loss or unauthorized actions.
From the tool's definition Tool 'search_google_scholar_key_words' performs a search operation that 'return[s] paper metadata' — a retrieval action with no modification or execution of external code.
Documented attack patterns abuse exactly the kind of access search_google_scholar_key_words gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ScholarMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_google_scholar_key_words:
{
"version": "1",
"default": "deny",
"tools": {
"search_google_scholar_key_words": {}
}
}search_google_scholar_key_words 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 using keywords and return paper metadata. It is categorised as a Read tool in the ScholarMCP MCP Server, which means it retrieves data without modifying state.
Register the Scholar MCP server in PolicyLayer and add a rule for search_google_scholar_key_words: 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 ScholarMCP. Nothing to install.
search_google_scholar_key_words 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_google_scholar_key_words 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_scholar_key_words. 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_scholar_key_words is provided by the Scholar MCP server (lstudlo/scholarmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ScholarMCP, 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.
10 ScholarMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.