conversation_ai_update_followup_settings

Update Followup Settings

SERVERGhl SOURCE@aiwerk/mcp-server-ghl

Medium RISK CLASS

Category Write

Parameters 33 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-ghl/conversation-ai-update-followup-settings.md

WHAT IT DOES

What conversation_ai_update_followup_settings does on Ghl

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

Parameter	Type	Required
`agentId`	string	Yes
`actionIds`	array	Yes
`followupSettings`	object	Yes

Parameters from the server's own tool schema.

RISK

Why conversation_ai_update_followup_settings is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs conversation_ai_update_followup_settings safely

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

conversation_ai_update_followup_settings Rate-limited

conversation_ai_update_followup_settings 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": {
    "conversation_ai_update_followup_settings": {
      "limits": [
        {
          "counter": "conversation_ai_update_followup_settings_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 Ghl, apply this rule, and every conversation_ai_update_followup_settings call is checked against it from then on.

FAQ

Questions about conversation_ai_update_followup_settings

What does the conversation_ai_update_followup_settings tool do? +

Update Followup Settings. It is categorised as a Write tool in the Ghl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does conversation_ai_update_followup_settings accept? +

conversation_ai_update_followup_settings accepts 3 parameters: agentId, actionIds, followupSettings. Required: agentId, actionIds, followupSettings. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on conversation_ai_update_followup_settings? +

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

What risk level is conversation_ai_update_followup_settings? +

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

Can I rate-limit conversation_ai_update_followup_settings? +

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

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

conversation_ai_update_followup_settings is provided by the Ghl MCP server (@aiwerk/mcp-server-ghl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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