Unified top-level search across all configured academic platforms. Args: query: Search query string. max_results_per_source: Max results to fetch from each selected source. sources: Comma-separated source names or 'all'. Available: arxiv,pubmed,biorxiv,medrxiv,google_scholar,iacr,semantic,crossre...
AI agents call search_papers to retrieve information from Paper 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 academic paper metadata from multiple sources (arXiv, PubMed, etc.). It has no side effects—it only searches and aggregates results without modifying, creating, deleting, or executing anything. This is a classic Read operation with minimal risk if misused by an AI agent, as the worst outcome would be excessive API calls or spam searches.
From the tool's definition Tool performs 'Unified top-level search across all configured academic platforms' and 'Returns: Aggregated dictionary with per-source stats, errors, and deduplicated papers.' The operation is a search query with no modification, creation, deletion, or…
Documented attack patterns abuse exactly the kind of access search_papers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Paper Search MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for search_papers:
{
"version": "1",
"default": "deny",
"tools": {
"search_papers": {}
}
}search_papers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Unified top-level search across all configured academic platforms. Args: query: Search query string. max_results_per_source: Max results to fetch from each selected source. sources: Comma-separated source names or 'all'. Available: arxiv,pubmed,biorxiv,medrxiv,google_scholar,iacr,semantic,crossref,openalex,pmc,core,europepmc,dblp,openaire,citeseerx,doaj,base,zenodo,hal,ssrn,unpaywall year: Optional year filter for Semantic Scholar only. Returns: Aggregated dictionary with per-source stats, errors, and deduplicated papers. It is categorised as a Read tool in the Paper Search MCP MCP Server, which means it retrieves data without modifying state.
Register the Paper Search MCP server in PolicyLayer and add a rule for search_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 Paper Search MCP. Nothing to install.
search_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_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_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_papers is provided by the Paper Search MCP server (openags/paper-search-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 63 Paper Search MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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63 Paper Search MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.