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AiAgency-Now

VoiceAI-MCP-VAVicky

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by AiAgency-Now

make_call

Initiate phone calls through an AI assistant by providing an assistant ID and phone number to connect users with voice-based AI interactions.

Instructions

Make a phone call through assistant

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assistant_idYesAssistant ID
phone_numberYesPhone number to call
contact_idNoContact ID (optional)

Implementation Reference

  • Handler logic for the 'make_call' tool within the executeTool method's switch statement. It constructs a POST request to the /twilio/{assistant_id}/call endpoint with the phone_number and optionally contact_id.
    case 'make_call':
      url = `${this.baseUrl}/twilio/${args.assistant_id}/call`;
      method = 'POST';
      body = {
        phonenumber: args.phone_number
      };
      if (args.contact_id) {
        body.contact_id = args.contact_id;
        body.customData = { phonenumber: args.phone_number };
      }
      break;
  • Schema definition and registration of the 'make_call' tool in the ListToolsRequestSchema response, including input schema with required assistant_id and phone_number.
    {
      name: 'make_call',
      description: 'Make a phone call through assistant',
      inputSchema: {
        type: 'object',
        properties: {
          assistant_id: { type: 'string', description: 'Assistant ID' },
          phone_number: { type: 'string', description: 'Phone number to call' },
          contact_id: { type: 'string', description: 'Contact ID (optional)' }
        },
        required: ['assistant_id', 'phone_number']
      }
    },
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool makes a phone call but doesn't mention critical behaviors like whether this initiates a real-time call, requires specific permissions, has rate limits, or what happens on success/failure. This leaves significant gaps for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core purpose and appropriately sized for a straightforward tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after the call is made (e.g., call status, error handling, or return values), nor does it cover behavioral aspects like authentication needs or side effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, providing basic documentation for all three parameters. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline but doesn't enhance understanding of how parameters interact or their practical usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('make a phone call') and the mechanism ('through assistant'), which is specific and unambiguous. However, it doesn't explicitly differentiate this tool from sibling tools like 'make_bulk_call' or 'chat_with_assistant', which would be needed for a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'make_bulk_call' for multiple calls or 'chat_with_assistant' for non-voice interactions. It also lacks context about prerequisites (e.g., needing an active Twilio connection) or typical use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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