Create a new chat session with a chat agent.
AI agents use retell_create_chat to create or update resources in Retell AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Retell AI MCP Server environment.
This tool creates a new chat session, which is a reversible write operation. It adds a new record to the system without permanently deleting or modifying existing data. The severity is medium because creating chat sessions could potentially be abused to spam sessions or consume resources, but the operation is reversible and doesn't directly expose sensitive data or execute arbitrary code.
From the tool's definition The tool is named 'retell_create_chat' and described as 'Create a new chat session with a chat agent.' The verb 'create' indicates a write operation that generates a new resource (a chat session).
Attacks that exploit this kind of access
Create a new chat session with a chat agent. It is categorised as a Write tool in the Retell AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Retell AI MCP Server MCP server in PolicyLayer and add a rule for retell_create_chat: 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 Retell AI MCP Server. Nothing to install.
retell_create_chat is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the retell_create_chat 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 retell_create_chat. 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.
retell_create_chat is provided by the Retell AI MCP Server MCP server (itsanamune/retellsimp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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