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AbbottDevelopments

Shopmonkey MCP Server

create_order

Create a new work order in Shopmonkey by specifying customer, vehicle, status, and location details to initiate automotive service management.

Instructions

Create a new work order in Shopmonkey.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdNoCustomer ID to associate with the order
vehicleIdNoVehicle ID to associate with the order
statusNoInitial order status (e.g., estimate, work_order)
locationIdNoLocation ID for multi-location shops. Defaults to SHOPMONKEY_LOCATION_ID env var if set.

Implementation Reference

  • The handler implementation for create_order tool.
    async create_order(args) {
      const body = pickFields(args, CREATE_FIELDS);
      if (!body.locationId) {
        const defaultId = getDefaultLocationId();
        if (defaultId) body.locationId = defaultId;
      }
      const data = await shopmonkeyRequest<Order>('POST', '/order', body);
      return { content: [{ type: 'text', text: JSON.stringify(data, null, 2) }] };
    },
  • The MCP tool definition for create_order, including the input schema.
      name: 'create_order',
      description: 'Create a new work order in Shopmonkey.',
      inputSchema: {
        type: 'object' as const,
        properties: {
          customerId: { type: 'string', description: 'Customer ID to associate with the order' },
          vehicleId: { type: 'string', description: 'Vehicle ID to associate with the order' },
          status: { type: 'string', description: 'Initial order status (e.g., estimate, work_order)' },
          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 are provided, so the description must carry full behavioral disclosure. It fails to mention idempotency, error handling (what if IDs don't exist?), return values, or side effects beyond the implied creation.

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 is efficiently structured and front-loaded, though extreme brevity leaves significant gaps in specification. No redundant or wasted text.

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 a relational creation tool with 4 parameters. Lacks explanation of entity relationships, status lifecycle, and output behavior despite having no output schema or annotations to provide this context.

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 parameters. The description adds no parameter-specific context (e.g., explaining the relationship between customer/vehicle or the status workflow), earning the baseline score for high-coverage schemas.

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?

States specific verb (Create) and resource (work order) with domain context (Shopmonkey). However, it does not differentiate from sibling creation tools like create_appointment or create_customer, leaving the agent to infer from the resource name alone.

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?

Provides no guidance on when to use this tool versus alternatives like update_order, nor does it mention prerequisites (e.g., whether customerId and vehicleId refer to existing records) or workflow context.

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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