Retrieve details of a specific call including transcript, recording URL, duration, and analysis.
AI agents call retell_get_call to retrieve information from Retell AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical call information for inspection and reporting purposes. No data is created, modified, or deleted. The blast radius of misuse is limited to unauthorized information disclosure of past calls, which is a confidentiality concern but not a capability to damage, destroy, or execute arbitrary operations.
From the tool's definition Tool name includes 'get' and description states 'Retrieve details' — classic read operation. Returns call metadata (transcript, recording URL, duration, analysis) with no modification, deletion, or external side effects.
Attacks that exploit this kind of access
Retrieve details of a specific call including transcript, recording URL, duration, and analysis. It is categorised as a Read tool in the Retell AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Retell AI MCP Server MCP server in PolicyLayer and add a rule for retell_get_call: 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_get_call 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 retell_get_call 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_get_call. 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_get_call 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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