sample_conversations_by_queue

Retrieves conversation analytics for a specific queue between two dates, returning a representative sample of conversation IDs. Useful for reporting, investigation, or summarisation.

ServerGenesys Cloud MCP Server
CategoryRead

How to control sample_conversations_by_queue ↓

WHAT IT DOES

What sample_conversations_by_queue does on Genesys Cloud MCP Server

AI agents call sample_conversations_by_queue 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.

THE RISK

Low Risk

Why sample_conversations_by_queue needs a policy

This tool performs a query operation that fetches existing data (conversation analytics and IDs) from a specific queue within a date range. There is no indication of creating, modifying, deleting, executing code, or committing financial transactions. The retrieval of analytics for analysis purposes is a classic Read category operation.

From the tool's definition Tool description states it 'Retrieves conversation analytics' and returns 'a representative sample of conversation IDs'.

Documented attack patterns abuse exactly the kind of access sample_conversations_by_queue gives an agent:

POLICY

How to control sample_conversations_by_queue

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 sample_conversations_by_queue:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sample_conversations_by_queue": {}
  }
}

sample_conversations_by_queue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Genesys Cloud MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More Genesys Cloud MCP Server tools

Read conversation_sentiment Retrieves sentiment analysis scores for one or more conversations. Sentiment is evaluated Read conversation_topics Retrieves Speech and Text Analytics topics detected for a specific conversation. Topics re Read conversation_transcript Retrieves a structured transcript of the conversation, including speaker labels, utterance Read oauth_client_usage Retrieves the usage of an OAuth Client for a given period. It returns the total number of Read oauth_clients Retrieves a list of all OAuth clients, including their associated roles and divisions. Thi Read query_queue_volumes Returns a breakdown of how many conversations occurred in each specified queue between two Read search_queues Searches for routing queues based on their name, allowing for wildcard searches. Returns a Read search_voice_conversations Searches for voice conversations within a specified time window, optionally filtering by p

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about sample_conversations_by_queue

What does the sample_conversations_by_queue tool do? +

Retrieves conversation analytics for a specific queue between two dates, returning a representative sample of conversation IDs. Useful for reporting, investigation, or summarisation. It is categorised as a Read tool in the Genesys Cloud MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sample_conversations_by_queue? +

Register the Genesys Cloud MCP Server MCP server in PolicyLayer and add a rule for sample_conversations_by_queue: 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.

What risk level is sample_conversations_by_queue? +

sample_conversations_by_queue is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sample_conversations_by_queue? +

Yes. Add a rate_limit block to the sample_conversations_by_queue 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.

How do I block sample_conversations_by_queue completely? +

Set action: deny in the PolicyLayer policy for sample_conversations_by_queue. 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.

What MCP server provides sample_conversations_by_queue? +

sample_conversations_by_queue 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.

Enforce policy on every Genesys Cloud MCP Server tool call.

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.

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10 Genesys Cloud MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.