AI agents call list_retell_llms 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 performs a read-only operation that retrieves and enumerates existing LLM configurations. It has no capability to modify, delete, or execute actions—only to list/query data. This aligns with the 'Read' category for tools that retrieve data without side effects.
From the tool's definition Tool name 'list_retell_llms' and description 'Lists all Retell LLMs' indicate a retrieval/query operation with no data modification or side effects.
Attacks that exploit this kind of access
Lists all Retell LLMs. 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_retell_llms: 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_retell_llms 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_retell_llms 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_retell_llms. 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_retell_llms 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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