create_agent

Create a new CustomGPT agent.

Server CustomGPT MCP Server poll-the-people/customgpt-mcp
Category Write
Risk class Medium
Parameters 00 required

What create_agent does on CustomGPT MCP Server

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

Why create_agent needs a policy

This tool creates a new resource (an agent) within the CustomGPT system. Creation is a Write operation because it introduces new data structures that can be removed or modified later. The presence of 'delete_agent' as a sibling tool confirms reversibility.

From the tool's definition Tool name 'create_agent' and description 'Create a new CustomGPT agent' indicate data creation. The action is reversible via the sibling tool 'delete_agent', confirming Write rather than Destructive.

Questions about create_agent

What does the create_agent tool do? +

Create a new CustomGPT agent. It is categorised as a Write tool in the CustomGPT 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 create_agent? +

Register the CustomGPT MCP Server MCP server in PolicyLayer and add a rule for create_agent: 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 CustomGPT MCP Server. Nothing to install.

What risk level is create_agent? +

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

Can I rate-limit create_agent? +

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

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

create_agent is provided by the CustomGPT MCP Server MCP server (poll-the-people/customgpt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.