order_by, filter, limit, depth, starting_after or ending_before can be provided to request your favoriteFolders
AI agents call findManyFavoriteFolders to retrieve information from Twenty MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries favorite folders from the Twenty CRM system with filtering and pagination options. It has no side effects—it does not create, modify, delete, or execute operations. It is a straightforward read operation on CRM data, presenting minimal security risk when misused by an AI agent.
From the tool's definition Tool name 'findManyFavoriteFolders' and description referencing query parameters (order_by, filter, limit, depth, starting_after, ending_before) indicate a retrieval operation without modification.
Documented attack patterns abuse exactly the kind of access findManyFavoriteFolders gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twenty MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for findManyFavoriteFolders:
{
"version": "1",
"default": "deny",
"tools": {
"findManyFavoriteFolders": {}
}
}findManyFavoriteFolders is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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order_by, filter, limit, depth, starting_after or ending_before can be provided to request your favoriteFolders. It is categorised as a Read tool in the Twenty MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Twenty MCP Server MCP server in PolicyLayer and add a rule for findManyFavoriteFolders: 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 Twenty MCP Server. Nothing to install.
findManyFavoriteFolders 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 findManyFavoriteFolders 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 findManyFavoriteFolders. 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.
findManyFavoriteFolders is provided by the Twenty MCP Server MCP server (jdu278/twenty-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Twenty MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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219 Twenty MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.