Retrieves voice call quality metrics for one or more conversations by ID. This tool specifically focuses on voice interactions and returns the minimum Mean Opinion Score (MOS) observed in each conversation as structured JSON. MOS is a measure of perceived audio quality based on factors such as ji...
AI agents call voice_call_quality 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 only queries and retrieves historical quality metrics from existing conversations. It performs no creation, modification, deletion, code execution, or financial transactions. The operation is read-only and purely informational, making it a standard Read category tool with low blast radius if misused by an AI agent.
From the tool's definition Tool name 'voice_call_quality' and description 'Retrieves voice call quality metrics' indicates data retrieval with no modification or side effects. Returns 'structured JSON' of quality metrics (MOS scores) for conversations by ID.
Documented attack patterns abuse exactly the kind of access voice_call_quality 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 voice_call_quality:
{
"version": "1",
"default": "deny",
"tools": {
"voice_call_quality": {}
}
} voice_call_quality is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Retrieves voice call quality metrics for one or more conversations by ID. This tool specifically focuses on voice interactions and returns the minimum Mean Opinion Score (MOS) observed in each conversation as structured JSON. MOS is a measure of perceived audio quality based on factors such as jitter, latency, packet loss, and codec. Use the following legend to interpret MOS values:\n\n. 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 voice_call_quality: 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.
voice_call_quality 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 voice_call_quality 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 voice_call_quality. 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.
voice_call_quality 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.