voice_ai_update_action

Update Agent Action

SERVERGhl SOURCE@aiwerk/mcp-server-ghl

Medium RISK CLASS

Category Write

Parameters 65 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/voice-ai-update-action.md

WHAT IT DOES

What voice_ai_update_action does on Ghl

AI agents use voice_ai_update_action 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	Description
`name`	string	Yes	Human-readable name for this action
`agentId`	string	Yes	Agent ID to attach the action to
`actionId`	string	Yes	Unique identifier for the action
`actionType`	string	Yes	Type of action
`locationId`	string	—	Location ID Defaults to GHL_LOCATION_ID when omitted.
`actionParameters`	object	Yes	Action parameters - structure varies by actionType

Parameters from the server's own tool schema.

RISK

Why voice_ai_update_action is rated Medium

An AI agent can call voice_ai_update_action 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.

Risk signalsHigh parameter count (24 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs voice_ai_update_action 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 voice_ai_update_action, this is the rule to start with:

voice_ai_update_action Rate-limited

voice_ai_update_action 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": {
    "voice_ai_update_action": {
      "limits": [
        {
          "counter": "voice_ai_update_action_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 voice_ai_update_action call is checked against it from then on.

FAQ

Questions about voice_ai_update_action

What does the voice_ai_update_action tool do? +

Update Agent Action. 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 voice_ai_update_action accept? +

voice_ai_update_action accepts 6 parameters: name, agentId, actionId, actionType, locationId, actionParameters. Required: name, agentId, actionId, actionType, actionParameters. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on voice_ai_update_action? +

Register the Ghl MCP server in PolicyLayer and add a rule for voice_ai_update_action: 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 voice_ai_update_action? +

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

Can I rate-limit voice_ai_update_action? +

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

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

voice_ai_update_action 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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