Get the complete conversation history of a task including the original prompt, all follow-ups, and every task response. Useful for reviewing what a task did, understanding its reasoning, and debugging issues. Usage Example: \
AI agents call get_conversation to retrieve information from Cloud Agent 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 and queries conversation history data without side effects. It falls squarely under Read: the tool fetches information about task conversations for inspection purposes. The blast radius of misuse is low—an agent could potentially access sensitive conversation content inappropriately, but cannot modify, delete, or execute operations through this tool alone.
From the tool's definition Tool name is 'get_conversation' and description states it 'Get[s] the complete conversation history' — purely retrieval of existing data with no modification, deletion, or execution.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access get_conversation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cloud Agent MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_conversation:
{
"version": "1",
"default": "deny",
"tools": {
"get_conversation": {}
}
}get_conversation 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.
Get the complete conversation history of a task including the original prompt, all follow-ups, and every task response. Useful for reviewing what a task did, understanding its reasoning, and debugging issues. Usage Example: \. It is categorised as a Read tool in the Cloud Agent MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Cloud Agent MCP Server MCP server in PolicyLayer and add a rule for get_conversation: 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 Cloud Agent MCP Server. Nothing to install.
get_conversation 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 get_conversation 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 get_conversation. 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.
get_conversation is provided by the Cloud Agent MCP Server MCP server (jxnl/cursor-cloud-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cloud Agent 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.
9 Cloud Agent MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.