feed_search

Search across Hacker News, Lobsters, Reddit, and Dev.to at once.

Server Devfeed upgpt-ai/devfeed-mcp
Category Read
Risk class Low
Parameters 00 required

What feed_search does on Devfeed

AI agents call feed_search to retrieve information from Devfeed without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why feed_search needs a policy

This tool performs read-only search operations across multiple developer community platforms. It retrieves and queries existing data without creating, modifying, deleting, or executing any operations. The search functionality is informational and has no side effects on the underlying data or external systems.

From the tool's definition Tool description states 'Search across Hacker News, Lobsters, Reddit, and Dev.to at once.' The verb 'search' indicates a query/retrieval operation with no data modification, deletion, or execution of external commands.

Questions about feed_search

What does the feed_search tool do? +

Search across Hacker News, Lobsters, Reddit, and Dev.to at once. It is categorised as a Read tool in the Devfeed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on feed_search? +

Register the Devfeed MCP server in PolicyLayer and add a rule for feed_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 Devfeed. Nothing to install.

What risk level is feed_search? +

feed_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit feed_search? +

Yes. Add a rate_limit block to the feed_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.

How do I block feed_search completely? +

Set action: deny in the PolicyLayer policy for feed_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.

What MCP server provides feed_search? +

feed_search is provided by the Devfeed MCP server (upgpt-ai/devfeed-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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