Retrieves a structured transcript of the conversation, including speaker labels, utterance timestamps, and sentiment annotations where available. The transcript is formatted as a time-aligned list of utterances attributed to each participant (e.g., customer or agent)
AI agents call conversation_transcript to retrieve information from Genesys Cloud MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs data retrieval only—fetching conversation transcripts without any side effects or data mutation. However, severity is elevated to 'medium' rather than 'low' because transcripts may contain sensitive personal information (PII, health data, payment details) that could be exposed if an agent misuses access controls or queries unauthorized conversations.
From the tool's definition Tool description explicitly states it 'Retrieves a structured transcript' with no modification, creation, or deletion capabilities. It returns speaker labels, timestamps, and sentiment annotations in a read-only format.
Documented attack patterns abuse exactly the kind of access conversation_transcript gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Genesys Cloud MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for conversation_transcript:
{
"version": "1",
"default": "deny",
"tools": {
"conversation_transcript": {}
}
}conversation_transcript is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves a structured transcript of the conversation, including speaker labels, utterance timestamps, and sentiment annotations where available. The transcript is formatted as a time-aligned list of utterances attributed to each participant (e.g., customer or agent). It is categorised as a Read tool in the Genesys Cloud MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Genesys Cloud MCP Server MCP server in PolicyLayer and add a rule for conversation_transcript: 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 Genesys Cloud MCP Server. Nothing to install.
conversation_transcript 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 conversation_transcript 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 conversation_transcript. 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.
conversation_transcript is provided by the Genesys Cloud MCP Server MCP server (makingchatbots/genesys-cloud-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Genesys Cloud MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Genesys Cloud MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.