Get details for a single feed including entry counts.
AI agents call get_feed_tool to retrieve information from MCP Feed Reader 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 information about a feed (details and entry counts) without creating, modifying, deleting, or executing operations. It is a straightforward read-only data retrieval operation, presenting minimal risk even if invoked by an AI agent with arbitrary arguments.
From the tool's definition Tool description states 'Get details for a single feed including entry counts' — a retrieval operation with no mutation or side effects.
Attacks that exploit this kind of access
Get details for a single feed including entry counts. It is categorised as a Read tool in the MCP Feed Reader MCP Server, which means it retrieves data without modifying state.
Register the MCP Feed Reader MCP server in PolicyLayer and add a rule for get_feed_tool: 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 MCP Feed Reader. Nothing to install.
get_feed_tool 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_feed_tool 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_feed_tool. 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_feed_tool is provided by the MCP Feed Reader MCP server (pypi:mcp-feed-reader-crunchtools). 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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