lobsters_hot
AI agents call lobsters_hot to retrieve information from Pypi:hn Tech Signal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns data about trending stories from Lobste.rs without modifying any data or triggering external actions. It follows the pattern of sibling tools that search and retrieve information. Confidence is slightly reduced from 1.0 because the tool description is empty, requiring inference from name and server context.
From the tool's definition Tool name 'lobsters_hot' and sibling tools (arxiv_search, hn_search, github_trending_ai, tech_signal_digest) indicate this retrieves trending/hot stories from Lobste.rs.
Attacks that exploit this kind of access
lobsters_hot. It is categorised as a Read tool in the Pypi:hn Tech Signal MCP Server, which means it retrieves data without modifying state.
Register the Pypi:hn Tech Signal MCP server in PolicyLayer and add a rule for lobsters_hot: 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 Pypi:hn Tech Signal. Nothing to install.
lobsters_hot 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 lobsters_hot 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 lobsters_hot. 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.
lobsters_hot is provided by the Pypi:hn Tech Signal MCP server (malkreide/hn-tech-signal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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