AI agents call user_analysis to retrieve information from HN-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs read-only analysis of user information on a public platform (Hacker News). There are no side effects, no data modification, no code execution, and no financial impact. The worst-case misuse would be gathering insights about users, which is a low-severity concern on a public forum. This is clearly a Read category tool.
From the tool's definition Tool name is 'user_analysis' and description states 'Analyze a Hacker News user' — this retrieves and analyzes publicly available user data from Hacker News without modifying, executing code, or causing irreversible changes.
Documented attack patterns abuse exactly the kind of access user_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and HN-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for user_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"user_analysis": {}
}
}user_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze a Hacker News user. It is categorised as a Read tool in the HN-MCP MCP Server, which means it retrieves data without modifying state.
Register the HN- MCP server in PolicyLayer and add a rule for user_analysis: 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 HN-MCP. Nothing to install.
user_analysis 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 user_analysis 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 user_analysis. 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.
user_analysis is provided by the HN- MCP server (karanb192/hn-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from HN-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 HN-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.