Medium Risk

create_table

Create a new table in an Airtable base. Returns the generated table ID. The table starts with default fields (Name, Notes, Attachments, Status, etc.) — use list_fields after creation to inspect them.

Part of the Airtable User MCP server.

create_table can modify Airtable User MCP data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_table to create or modify resources in Airtable User MCP. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_table repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Airtable User MCP.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

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These attack patterns abuse exactly the kind of access create_table gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_table only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_table tool do? +

Create a new table in an Airtable base. Returns the generated table ID. The table starts with default fields (Name, Notes, Attachments, Status, etc.) — use list_fields after creation to inspect them.. It is categorised as a Write tool in the Airtable User MCP 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 Airtable User 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 Airtable User MCP. 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 Airtable User MCP server (airtable-user-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Airtable User MCP tool call.

Deterministic rules across all 67 Airtable User MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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