AI agents call academic_search to retrieve information from Proxima without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Search tools are classified as Read operations—they query and retrieve information without side effects. The empty description prevents higher confidence, but the name and context (part of a gateway connecting AI providers for 'search' and 'analysis') support this classification. No evidence of write, execute, destructive, or financial capabilities.
From the tool's definition Tool name 'academic_search' indicates a search operation. The description is empty, which reduces confidence, but the naming convention strongly suggests data retrieval without modification.
Documented attack patterns abuse exactly the kind of access academic_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Proxima, and nothing reaches the server without passing your rules. This is the rule we recommend for academic_search:
{
"version": "1",
"default": "deny",
"tools": {
"academic_search": {}
}
}academic_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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academic_search. It is categorised as a Read tool in the Proxima MCP Server, which means it retrieves data without modifying state.
Register the Proxima MCP server in PolicyLayer and add a rule for academic_search: 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 Proxima. Nothing to install.
academic_search 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 academic_search 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 academic_search. 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.
academic_search is provided by the Proxima MCP server (zen4-bit/proxima). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 50 Proxima tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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50 Proxima tools catalogued and risk-classified — across an index of 42,500+ MCP servers.