List collaborators and their permissions for the current base
AI agents call list_collaborators to retrieve information from Airtable MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries information about collaborators and their permissions without creating, modifying, or deleting any records or configurations. It is a read-only operation with minimal blast radius if misused—worst case an agent learns who has access to the base, which is informational only.
From the tool's definition Tool name is 'list_collaborators' and description states 'List collaborators and their permissions for the current base'. The verb 'list' and the retrieval-only nature of querying collaborator metadata indicates no data modification.
Documented attack patterns abuse exactly the kind of access list_collaborators gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Airtable MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_collaborators:
{
"version": "1",
"default": "deny",
"tools": {
"list_collaborators": {}
}
}list_collaborators is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List collaborators and their permissions for the current base. It is categorised as a Read tool in the Airtable MCP MCP Server, which means it retrieves data without modifying state.
Register the Airtable MCP server in PolicyLayer and add a rule for list_collaborators: 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 MCP. Nothing to install.
list_collaborators is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_collaborators 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.
Set action: deny in the PolicyLayer policy for list_collaborators. 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.
list_collaborators is provided by the Airtable MCP server (rashidazarang/airtable-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 45 Airtable MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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45 Airtable MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.