Low Risk

search_user_in_supabase

Search for a user in Supabase database by partial name and get their user ID and calendar ID

How to control search_user_in_supabase ↓

What search_user_in_supabase does on Lark MCP Server

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

Low Risk

Why search_user_in_supabase needs a policy

This tool queries a database to retrieve user information (ID and calendar ID) without modifying, deleting, or executing external operations. It is a standard read operation with minimal blast radius—exposure could leak user identifiers but does not enable destructive or financial actions.

From the tool's definition Tool description states 'Search for a user in Supabase database by partial name and get their user ID and calendar ID' — a retrieval operation with no side effects. The verb 'search' and 'get' indicate read-only queries returning user metadata.

Documented attack patterns abuse exactly the kind of access search_user_in_supabase gives an agent:

How to control search_user_in_supabase

PolicyLayer is an MCP gateway — it sits between your AI agents and Lark MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_user_in_supabase:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_user_in_supabase": {}
  }
}

search_user_in_supabase is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Lark MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_user_in_supabase

What does the search_user_in_supabase tool do? +

Search for a user in Supabase database by partial name and get their user ID and calendar ID. It is categorised as a Read tool in the Lark MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_user_in_supabase? +

Register the Lark MCP Server MCP server in PolicyLayer and add a rule for search_user_in_supabase: 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 Lark MCP Server. Nothing to install.

What risk level is search_user_in_supabase? +

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

Can I rate-limit search_user_in_supabase? +

Yes. Add a rate_limit block to the search_user_in_supabase 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 search_user_in_supabase completely? +

Set action: deny in the PolicyLayer policy for search_user_in_supabase. 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 search_user_in_supabase? +

search_user_in_supabase is provided by the Lark MCP Server MCP server (junyuan-qi/lark-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lark MCP Server tool call.

Start from Lark MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

5 Lark MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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