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AbbottDevelopments

Shopmonkey MCP Server

create_appointment

Book new appointments in Shopmonkey by specifying customer, vehicle, time slots, and service details to schedule automotive service visits.

Instructions

Book a new appointment in Shopmonkey.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdNoCustomer ID for the appointment
vehicleIdNoVehicle ID for the appointment
orderIdNoWork order ID to link to
startDateNoAppointment start date/time (ISO 8601 format)
endDateNoAppointment end date/time (ISO 8601 format)
titleNoAppointment title or summary
notesNoAdditional notes for the appointment
locationIdNoLocation ID for multi-location shops. Defaults to SHOPMONKEY_LOCATION_ID env var if set.

Implementation Reference

  • Handler for creating an appointment in Shopmonkey.
    async create_appointment(args) {
      const body = pickFields(args, CREATE_FIELDS);
      if (!body.locationId) {
        const defaultId = getDefaultLocationId();
        if (defaultId) body.locationId = defaultId;
      }
      const data = await shopmonkeyRequest<Appointment>('POST', '/appointment', body);
      return { content: [{ type: 'text', text: JSON.stringify(data, null, 2) }] };
    },
  • Input schema definition for the create_appointment tool.
      name: 'create_appointment',
      description: 'Book a new appointment in Shopmonkey.',
      inputSchema: {
        type: 'object' as const,
        properties: {
          customerId: { type: 'string', description: 'Customer ID for the appointment' },
          vehicleId: { type: 'string', description: 'Vehicle ID for the appointment' },
          orderId: { type: 'string', description: 'Work order ID to link to' },
          startDate: { type: 'string', description: 'Appointment start date/time (ISO 8601 format)' },
          endDate: { type: 'string', description: 'Appointment end date/time (ISO 8601 format)' },
          title: { type: 'string', description: 'Appointment title or summary' },
          notes: { type: 'string', description: 'Additional notes for the appointment' },
          locationId: { type: 'string', description: 'Location ID for multi-location shops. Defaults to SHOPMONKEY_LOCATION_ID env var if set.' },
        },
      },
    },
Behavior2/5

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

No annotations provided, forcing the description to carry full disclosure burden. However, it reveals nothing about side effects, conflict handling (e.g., double-booked slots), return values, or whether notifications are sent. Only states the basic creation action.

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?

Single sentence with zero redundancy. However, for an 8-parameter creation tool with zero annotations, this brevity may be insufficient rather than optimally concise—it leaves critical context unstated.

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?

Inadequate for complexity level. An 8-parameter mutation tool with no annotations and no output schema requires substantial contextual support (prerequisites, side effects, required relationships). The single-sentence description fails to provide this.

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?

With 100% schema description coverage, the schema adequately documents all 8 parameters (customerId, vehicleId, etc.). The description adds no semantic detail beyond the schema, but baseline 3 applies per rubric for high-coverage schemas.

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?

The description uses a specific verb ('Book') with clear resource ('appointment') and context ('Shopmonkey'). It clearly distinguishes from siblings like 'get_appointment', 'update_appointment', and 'list_appointments' by indicating this is a creation operation.

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?

No guidance provided on when to use this versus 'update_appointment' or prerequisites (e.g., that customerId/vehicleId likely require existing records). No mention of required fields despite all 8 parameters being technically optional in the schema.

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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