Grok Bot API Tool Safety Checklist
Limit Grok-connected MCP tools with an explicit inventory, caller checks, credential isolation, and safe test cases.
A Grok integration can expose an API as remote MCP tools. The key question is not whether the model can call an operation. It is whether the operation should be available to this caller, with this data, in this environment.
xAI's remote MCP documentation says the allowed_tools list names permitted tools and that an empty list allows all. Do not use an empty list as a safe default. The same documentation says the current Responses API remote-MCP integration does not support require_approval. A server that needs approval for a write must enforce it outside that parameter. Product interfaces can differ, so confirm the exact Grok surface you plan to use before release.
One-page tool register
| Decision | Example | Required control |
|---|---|---|
| Allow | Read a non-sensitive status record | Named allowlist entry plus caller authorization |
| Hold | Read customer records or export data | Data owner, tenant check, minimization, and review |
| Hold | Create or change a record | Server-side approval and side-effect test |
| Deny | Delete, refund, rotate, or transfer by default | Remove tool until a separate review approves it |
Start with the smallest useful tool set. Make tool names stable and specific. A model should not choose between vague tools such as manageAccount when the server can expose a narrow readAccountStatus action. A tool name helps the model, but the handler still owns access control.
Put API credentials in the server's secret store, not in tool parameters or prompt text. Use a separate credential for the MCP connection when the deployment needs one. Scope upstream credentials to the approved actions. Do not log either credential. Validate the final outbound host after redirects, and reject private or unexpected destinations. An allowlisted MCP server URL does not make every URL that a tool can fetch safe.
Controlled test matrix
- A permitted synthetic user calls each allowed read tool and sees only its own marker.
- A different synthetic user requests the same marker and receives no data.
- A caller asks for a tool absent from the allowlist; the request never reaches the upstream API.
- A prompt-injection string inside a synthetic tool result asks for a write; no write occurs.
- A write request without the server's required approval is denied, with no side effect.
- A malformed host, redirect, or argument is rejected before outbound access.
Minimal owned configuration
For the xAI-compatible Responses API, a fictional lab request can allow one read tool:
{"type":"mcp","server_url":"https://mcp.example.com/mcp","server_label":"owned-lab","allowed_tools":["read_status"]}
Replace the example URL and tool name only with an owned, reviewed server and an exact catalog name. An absent or empty allowed_tools list allows every exposed tool. The native xAI SDK uses allowed_tool_names instead. Test that an unlisted write is absent from model tools and denied by the server if called directly. A handshake proves only connection.
Know what your agents can reach
Map data access, tool actions and approval boundaries before testing. Use the scope guide, or discuss a review of your AI application.
Sources
- xAI Remote MCP ToolsAccessed
- MCP Security Best PracticesAccessed