Get the current interest profile including topics, keywords, tracked labs, and tracked authors.
AI agents call get_interest_profile to retrieve information from Paper Scout MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves configuration data (topics, keywords, tracked labs, authors) belonging to the user. It performs a query operation that reads state without creating, modifying, deleting, or executing external operations. The blast radius of misuse is minimal—an attacker gains insight into the user's research interests but cannot manipulate data, trigger actions, or cause harm. Classified as Read with low severity.
From the tool's definition Tool name 'get_interest_profile' and description 'Get the current interest profile' indicate data retrieval with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access get_interest_profile gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Paper Scout MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_interest_profile:
{
"version": "1",
"default": "deny",
"tools": {
"get_interest_profile": {}
}
}get_interest_profile is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the current interest profile including topics, keywords, tracked labs, and tracked authors. It is categorised as a Read tool in the Paper Scout MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Paper Scout MCP Server MCP server in PolicyLayer and add a rule for get_interest_profile: 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 Scout MCP Server. Nothing to install.
get_interest_profile 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 get_interest_profile 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 get_interest_profile. 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.
get_interest_profile is provided by the Paper Scout MCP Server MCP server (jonradoff/paper-scout). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Paper Scout 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.
10 Paper Scout MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.