create_ai_agent

Создаёт нового AI-агента. Обязательны: name, access_type, model_id, token_package_id, system_prompt. Перед вызовом получи model_id через list_ai_models и token_package_id через list_ai_agent_token_packages.

SERVERTimeweb SOURCEtimeweb-mcp
Medium RISK CLASS
Category Write
Parameters 125 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/timeweb-mcp/create-ai-agent.md

What create_ai_agent does on Timeweb

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

ParameterTypeRequiredDescription
name string Yes ОБЯЗАТЕЛЬНОЕ ПОЛЕ - название агента
top_p number top_p модели
model_id number Yes ОБЯЗАТЕЛЬНОЕ ПОЛЕ - ID модели (см. list_ai_models)
max_tokens number Максимум токенов в ответе
project_id number ID проекта
access_type string Yes ОБЯЗАТЕЛЬНОЕ ПОЛЕ - тип доступа: public или private
description string Описание агента
temperature number temperature модели
refine_query boolean Уточнять ли запрос перед обработкой (по умолчанию false)
system_prompt string Yes ОБЯЗАТЕЛЬНОЕ ПОЛЕ - системный промпт агента
presence_penalty number presence_penalty
token_package_id number Yes ОБЯЗАТЕЛЬНОЕ ПОЛЕ - ID пакета токенов (см. list_ai_agent_token_packages)

Parameters from the server's own tool schema.

Why create_ai_agent is rated Medium

An AI agent can call create_ai_agent faster than any human can review: one bad instruction and it creates or modifies resources in Timeweb by the hundred, each call as confident as the last.

Risk signalsHigh parameter count (13 properties)

Questions about create_ai_agent

What does the create_ai_agent tool do? +

Создаёт нового AI-агента. Обязательны: name, access_type, model_id, token_package_id, system_prompt. Перед вызовом получи model_id через list_ai_models и token_package_id через list_ai_agent_token_packages. It is categorised as a Write tool in the Timeweb MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_ai_agent accept? +

create_ai_agent accepts 12 parameters: name, top_p, model_id, max_tokens, project_id, access_type, description, temperature, refine_query, system_prompt, presence_penalty, token_package_id. Required: name, model_id, access_type, system_prompt, token_package_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_ai_agent? +

Register the Timeweb MCP server in PolicyLayer and add a rule for create_ai_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 Timeweb. Nothing to install.

What risk level is create_ai_agent? +

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

Can I rate-limit create_ai_agent? +

Yes. Add a rate_limit block to the create_ai_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_ai_agent completely? +

Set action: deny in the PolicyLayer policy for create_ai_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_ai_agent? +

create_ai_agent is provided by the Timeweb MCP server (timeweb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Timeweb, and thousands of servers like it.

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