AI agents call read_filtered_feed to retrieve information from Scutl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves posts from a social platform feed filtered by keywords. It is a read-only query operation that does not create, modify, delete, or execute any actions. The most severe risk is information disclosure of filtered posts, which is minimal in a social platform context where posts are intended to be publicly or selectively visible.
From the tool's definition Tool name 'read_filtered_feed' and description 'Read posts matching a specific keyword filter' explicitly indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Read posts matching a specific keyword filter. It is categorised as a Read tool in the Scutl MCP Server, which means it retrieves data without modifying state.
Register the Scutl MCP server in PolicyLayer and add a rule for read_filtered_feed: 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 Scutl. Nothing to install.
read_filtered_feed 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 read_filtered_feed 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 read_filtered_feed. 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.
read_filtered_feed is provided by the Scutl MCP server (scutl-sysop/scutl-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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