findFavoriteDuplicates

depth can be provided to request your favorite

SERVERTwenty MCP Server SOURCEjdu278/twenty-mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/jdu278-twenty-mcp-server/findfavoriteduplicates.md

WHAT IT DOES

What findFavoriteDuplicates does on Twenty MCP Server

AI agents call findFavoriteDuplicates to retrieve information from Twenty MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why findFavoriteDuplicates is rated Low

The tool searches for and returns information about duplicate favorites—a read-only retrieval operation. However, medium severity is assigned because in a CRM context, misuse could expose sensitive contact or account data if an agent queries without proper authorization boundaries.

From the tool's definition Tool name 'findFavoriteDuplicates' and description 'request your favorite' indicate a query/search operation that retrieves or identifies duplicate favorite records without modifying data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs findFavoriteDuplicates safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Twenty MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For findFavoriteDuplicates, this is the rule to start with:

findFavoriteDuplicates Allowed

findFavoriteDuplicates is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "findFavoriteDuplicates": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Twenty MCP Server, apply this rule, and every findFavoriteDuplicates call is checked against it from then on.

FAQ

Questions about findFavoriteDuplicates

What does the findFavoriteDuplicates tool do? +

depth can be provided to request your favorite. It is categorised as a Read tool in the Twenty MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on findFavoriteDuplicates? +

Register the Twenty MCP Server MCP server in PolicyLayer and add a rule for findFavoriteDuplicates: 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.

What risk level is findFavoriteDuplicates? +

findFavoriteDuplicates is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit findFavoriteDuplicates? +

Yes. Add a rate_limit block to the findFavoriteDuplicates 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.

How do I block findFavoriteDuplicates completely? +

Set action: deny in the PolicyLayer policy for findFavoriteDuplicates. 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.

What MCP server provides findFavoriteDuplicates? +

findFavoriteDuplicates 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.

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