Get a Hacker News story with its comments. Fetches full story content and comment threads.
AI agents call get_story_details 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.
This tool retrieves and queries data from Hacker News (public comments and story metadata) without side effects. It is purely informational—fetching existing content has no impact on the data source. This is a straightforward Read operation with minimal risk even if called arbitrarily by an AI agent.
From the tool's definition Tool "Fetches full story content and comment threads" from a public Hacker News browsing service; no modification, deletion, or execution capabilities described.
Documented attack patterns abuse exactly the kind of access get_story_details 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 get_story_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_story_details": {}
}
} get_story_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get a Hacker News story with its comments. Fetches full story content and comment threads. 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 get_story_details: 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.
get_story_details 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_story_details 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_story_details. 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_story_details 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.