AI agents call list_filters 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 queries and returns existing keyword filter configuration belonging to the user. It performs a simple read operation without creating, modifying, deleting, or executing anything. The minimal attack surface (user retrieves their own filter list) and lack of side effects justify the 'Read' category and 'low' severity rating.
From the tool's definition Tool name 'list_filters' and description 'List your active keyword filters' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List your active keyword filters. 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 list_filters: 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.
list_filters 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 list_filters 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 list_filters. 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.
list_filters 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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