Medium Risk

create_table

create_table

How to control create_table ↓

What create_table does on Lark Base MCP Server

AI agents use create_table to create or update resources in Lark Base MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Lark Base MCP Server environment.

Medium Risk

Why create_table needs a policy

Creating a table is a reversible write operation—it modifies the database structure but does not irreversibly destroy data. It ranks below Destructive (delete_table, delete_field, delete_record exist as siblings) and below Execute (no code/command execution). Medium severity reflects that uncontrolled table creation could bloat storage or cause schema pollution, but tables can be deleted if mistakes occur.

From the tool's definition Tool name 'create_table' combined with sibling tools showing write operations (create_field, create_record, update_field) and the server description stating 'write access to Feishu Base databases, enabling them to...manipulate records.' The tool description…

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

How to control create_table

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_table": {
      "limits": [
        {
          "counter": "create_table_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_table stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Lark Base 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.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about create_table

What does the create_table tool do? +

create_table. It is categorised as a Write tool in the Lark Base MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_table? +

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

What risk level is create_table? +

create_table is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_table? +

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

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

create_table is provided by the Lark Base MCP Server MCP server (lark-base-team/lark-base-mcp-node-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 Base MCP Server tool call.

Start from Lark Base 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.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.