AI agents call get_favorites to retrieve information from Get Gather without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user preference data (favorites list for blinds products) without modifying, deleting, or executing actions. It is a simple read operation with minimal security risk. The low severity reflects that exposure of favorite items has limited blast radius compared to purchase history or financial data also present on this server.
From the tool's definition Tool named 'get_favorites' with description 'Get favorites of blinds' - the verb 'Get' and absence of modification language indicate data retrieval only. No side effects or state changes are described.
Documented attack patterns abuse exactly the kind of access get_favorites gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Get Gather, and nothing reaches the server without passing your rules. This is the rule we recommend for get_favorites:
{
"version": "1",
"default": "deny",
"tools": {
"get_favorites": {}
}
}get_favorites is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get favorites of blinds. It is categorised as a Read tool in the Get Gather MCP Server, which means it retrieves data without modifying state.
Register the Get Gather MCP server in PolicyLayer and add a rule for get_favorites: 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 Get Gather. Nothing to install.
get_favorites 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_favorites 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_favorites. 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_favorites is provided by the Get Gather MCP server (remotebrowser/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 62 Get Gather tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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62 Get Gather tools catalogued and risk-classified — across an index of 42,500+ MCP servers.