copy_intent

Copy an intent to another agent.

Server Dialogflow CX MCP Server yash-kavaiya/conversation_agents_mcp
Category Write
Risk class Medium
Parameters 00 required

What copy_intent does on Dialogflow CX MCP Server

AI agents use copy_intent to create or update resources in Dialogflow CX MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dialogflow CX MCP Server environment.

Why copy_intent needs a policy

An AI agent can call copy_intent faster than any human can review — one bad instruction and it creates or modifies resources in Dialogflow CX MCP Server by the hundred, each call as confident as the last.

Questions about copy_intent

What does the copy_intent tool do? +

Copy an intent to another agent. It is categorised as a Write tool in the Dialogflow CX MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on copy_intent? +

Register the Dialogflow CX MCP Server MCP server in PolicyLayer and add a rule for copy_intent: 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 Dialogflow CX MCP Server. Nothing to install.

What risk level is copy_intent? +

copy_intent is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit copy_intent? +

Yes. Add a rate_limit block to the copy_intent 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 copy_intent completely? +

Set action: deny in the PolicyLayer policy for copy_intent. 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 copy_intent? +

copy_intent is provided by the Dialogflow CX MCP Server MCP server (yash-kavaiya/conversation_agents_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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