Update a conversation flow.
AI agents use retell_update_conversation_flow 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 or modifies data reversibly (updating a conversation flow), fitting the Write category. It is not destructive (the change can be undone by updating again), not Execute (it doesn't run arbitrary code or trigger external operations based on input), and not Financial.
From the tool's definition Tool is named 'retell_update_conversation_flow' and described as 'Update a conversation flow.' This modifies an existing conversation flow configuration in the Retell AI platform, which controls how AI agents interact with callers/users.
Attacks that exploit this kind of access
Update a conversation flow. 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_update_conversation_flow: 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_update_conversation_flow 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_update_conversation_flow 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_update_conversation_flow. 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_update_conversation_flow 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.
Every MCP server has a record like this.
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