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Create a client-intake project

create_project

Spin up a new customer-intake project on the dev's account. Returns the project row plus intakeUrl — the public link the customer fills out (10-step wizard). If customerEmail is provided, shiply also emails them the intake invite. Use originatedFromSiteId to link a project to an existing site (e.g. 'redesign this site').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesproject name shown in the dev dashboard
customerNameNothe customer's name
customerEmailNocustomer email; if set, shiply emails them the intake invite
originatedFromSiteIdNolink this project to an existing site (e.g. a redesign)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / customerEmail / description
      Added value: +"customer email; if set, shiply emails them the intake invite"
    • addedInput schema / properties / customerName / description
      Added value: +"the customer's name"
    • addedInput schema / properties / originatedFromSiteId / description
      Added value: +"link this project to an existing site (e.g. a redesign)"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "result": {}
      +  },
      +  "required": [
      +    "result"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Discloses side effects (email sending) and return values (project row, intakeUrl), though no explicit mention of idempotency or failure modes. No contradictions with annotations.

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?

Three sentences with front-loaded main action, no redundant information, every sentence adds value.

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

Completeness4/5

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

Covers main behavior and return values for a creation tool with an output schema; could mention required parameter 'label' but schema handles that.

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

Parameters4/5

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

Adds meaningful context beyond schema descriptions by explaining the overall flow and purpose of parameters, such as linking to a site for redesign.

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?

Clearly states the verb 'spin up' and resource 'customer-intake project', distinguishing it from siblings like list_projects, get_project, archive_project, etc.

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

Usage Guidelines4/5

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

Provides context for when to use optional parameters (customerEmail triggers email, originatedFromSiteId links to site), but lacks explicit exclusion of alternatives.

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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