Medium Risk

airtable_create_record

Add a new record to an Airtable table with specified field values. Returns the created record ID and full record data.

Part of the Airtable server.

airtable_create_record can modify Airtable 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 airtable_create_record to create or modify resources in Airtable. 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 airtable_create_record 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.

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

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

See the full Airtable policy for all 25 tools.

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so airtable_create_record 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 airtable_create_record tool do? +

Add a new record to an Airtable table with specified field values. Returns the created record ID and full record data.. It is categorised as a Write tool in the Airtable MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on airtable_create_record? +

Register the Airtable MCP server in PolicyLayer and add a rule for airtable_create_record: 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. Nothing to install.

What risk level is airtable_create_record? +

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

Can I rate-limit airtable_create_record? +

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

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

airtable_create_record is provided by the Airtable MCP server (https://gateway.pipeworx.io/airtable/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 tool call.

Deterministic rules across all 25 Airtable tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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