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setup_business

Automate outreach by creating products and deploying AI agents across recommended channels for businesses like coaches, agencies, real estate, recruitment, freelancers, or other types.

Instructions

Set up a complete outreach autopilot for a business. Creates a product and deploys AI agents for the recommended channels based on business type. Available types: coach, agency, realestate, recruitment, freelancer, other.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
businessTypeYesBusiness type: coach, agency, realestate, recruitment, freelancer, or other
businessNameYesName of the business (e.g., "Life Coach Pro")
websiteNoBusiness website URL (optional, used for AI content personalization)

Implementation Reference

  • The handler implementation for setup_business, which calls client.applyTemplate.
    handler: async (args: Record<string, unknown>) => {
      const result = await client.applyTemplate({
        templateKey: args.businessType as string,
        businessName: args.businessName as string,
        website: args.website as string | undefined,
      });
      return JSON.stringify(result, null, 2);
    },
  • The input schema definition for setup_business.
    inputSchema: {
      type: 'object' as const,
      properties: {
        businessType: {
          type: 'string',
          description:
            'Business type: coach, agency, realestate, recruitment, freelancer, or other',
          enum: ['coach', 'agency', 'realestate', 'recruitment', 'freelancer', 'other'],
        },
        businessName: {
          type: 'string',
          description: 'Name of the business (e.g., "Life Coach Pro")',
        },
        website: {
          type: 'string',
          description: 'Business website URL (optional, used for AI content personalization)',
        },
      },
      required: ['businessType', 'businessName'],
    },
  • The registration block for the setup_business tool within the getSetupTools function.
    {
      name: 'setup_business',
      description:
        'Set up a complete outreach autopilot for a business. Creates a product and deploys AI agents for the recommended channels based on business type. Available types: coach, agency, realestate, recruitment, freelancer, other.',
      inputSchema: {
        type: 'object' as const,
        properties: {
          businessType: {
            type: 'string',
            description:
              'Business type: coach, agency, realestate, recruitment, freelancer, or other',
            enum: ['coach', 'agency', 'realestate', 'recruitment', 'freelancer', 'other'],
          },
          businessName: {
            type: 'string',
            description: 'Name of the business (e.g., "Life Coach Pro")',
          },
          website: {
            type: 'string',
            description: 'Business website URL (optional, used for AI content personalization)',
          },
        },
        required: ['businessType', 'businessName'],
      },
      handler: async (args: Record<string, unknown>) => {
        const result = await client.applyTemplate({
          templateKey: args.businessType as string,
          businessName: args.businessName as string,
          website: args.website as string | undefined,
        });
        return JSON.stringify(result, null, 2);
      },
    },
Behavior3/5

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

No annotations provided, so description carries full disclosure burden. It correctly signals write operations ('Creates', 'deploys') and side effects. However, lacks details on atomicity (failure handling if product creates but agents fail), reversibility, credit consumption, or return values.

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

Conciseness4/5

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

Three sentences with logical progression from high-level goal to implementation details to parameter enumeration. Minor inefficiency in restating enum values in description that are fully documented in schema, otherwise front-loaded and clear.

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

Completeness3/5

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

Adequate for a 3-parameter tool with good schema coverage, but given the complexity of multi-resource creation (product + agents) and absence of output schema or annotations, the description lacks critical behavioral context such as success/error response format or rollback behavior.

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?

Schema coverage is 100%, establishing baseline 3. Description redundantly lists enum values ('Available types: coach...') already present in schema, but adds no additional syntax guidance, validation rules, or semantic relationships between parameters (e.g., how website influences personalization).

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

Purpose5/5

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

Specific verbs 'Set up', 'Creates', and 'deploys' clearly identify the scope (complete outreach autopilot, product, AI agents). Explicitly distinguishes from siblings create_agent and create_product by indicating this is a composite operation that orchestrates multiple resources based on business type.

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

Usage Guidelines3/5

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

The term 'Set up' implies initial business onboarding use case, but provides no explicit when-to-use guidance versus individual create_agent/create_product calls, prerequisites (e.g., existing business validation), or warnings about idempotency.

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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