AI agents call list_calls to retrieve information from Retellai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries call data without modifying, deleting, or executing any operations. It is a straightforward data retrieval action consistent with the Read category. The low severity reflects minimal risk—unauthorized access to call metadata is a data leakage concern but does not allow direct modification or execution of operations.
From the tool's definition Tool name 'list_calls' and description 'Lists all calls' indicate a query/retrieval operation with no side effects.
Attacks that exploit this kind of access
Lists all calls. It is categorised as a Read tool in the Retellai MCP Server, which means it retrieves data without modifying state.
Register the Retellai MCP server in PolicyLayer and add a rule for list_calls: 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 Retellai. Nothing to install.
list_calls 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_calls 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_calls. 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_calls is provided by the Retellai MCP server (@abhaybabbar/retellai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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