happ_chat_assign_manager

Назначает менеджера (пользователя компании) на чат. (PATCH /chats/:id/assign-manager)

SERVERPlatform SOURCE@happ-ai/platform-mcp

Medium RISK CLASS

Category Write

Parameters 22 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/happ-ai-platform-mcp/happ-chat-assign-manager.md

WHAT IT DOES

What happ_chat_assign_manager does on Platform

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

Parameter	Type	Required	Description
`chatId`	string	Yes	ID чата
`managerId`	string	Yes	ID пользователя-менеджера

Parameters from the server's own tool schema.

RISK

Why happ_chat_assign_manager is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs happ_chat_assign_manager safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For happ_chat_assign_manager, this is the rule to start with:

happ_chat_assign_manager Rate-limited

happ_chat_assign_manager stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "happ_chat_assign_manager": {
      "limits": [
        {
          "counter": "happ_chat_assign_manager_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Platform, apply this rule, and every happ_chat_assign_manager call is checked against it from then on.

FAQ

Questions about happ_chat_assign_manager

What does the happ_chat_assign_manager tool do? +

Назначает менеджера (пользователя компании) на чат. (PATCH /chats/:id/assign-manager). It is categorised as a Write tool in the Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does happ_chat_assign_manager accept? +

happ_chat_assign_manager accepts 2 parameters: chatId, managerId. Required: chatId, managerId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on happ_chat_assign_manager? +

Register the Platform MCP server in PolicyLayer and add a rule for happ_chat_assign_manager: 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 Platform. Nothing to install.

What risk level is happ_chat_assign_manager? +

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

Can I rate-limit happ_chat_assign_manager? +

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

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

happ_chat_assign_manager is provided by the Platform MCP server (@happ-ai/platform-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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