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TylerIlunga

Procore MCP Server

Create Custom Field

create_custom_field

Creates a custom field for a company to store additional information on projects or people. Specify name, type, and optional settings like filtering or dropdown values.

Instructions

Creates a new Custom Field for a given company ID. Custom Fields are used to store additional information about Projects or People. Use this to create a new Custom - Configurable Tools in Procore. Creates a new Custom - Configurable Tools and returns the created object on success (HTTP 201). Required parameters: company_id, name, type. Procore API: Company Admin > Custom - Configurable Tools. Endpoint: POST /rest/v1.0/workforce-planning/v2/companies/{company_id}/custom-fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company. This parameter accepts both formats: - **Recommended**: Procore company ID (integer) - Use this for new integrations - Legacy: LaborChart UUID format (uuid string...
nameYesJSON request body field — the name of the Custom Field that appears in the UI.
typeYesJSON request body field — the type of Custom Field. Determines the kind of data it will store. The type cannot be changed once created.
can_filterNoJSON request body field — if true, allows this field to be used as a filter.
integration_onlyNoJSON request body field — if true, only integrations can update this field.
on_projectsNoJSON request body field — if true, the field is available on Projects.
on_peopleNoJSON request body field — if true, the field is available on People.
descriptionNoJSON request body field — a description to help Admin users understand the field’s purpose.
valuesNoJSON request body field — only applicable for `select` or `multi-select` fields. List of values that will be options in the field's dropdown.
sort_byNoJSON request body field — only applicable for `select` or `multi-select` fields. Controls sorting of dropdown values. `alpha` sorts alphabetically, while `listed` maintains the provided order.
Behavior3/5

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

Annotations indicate readOnlyHint=false (write operation) and destructiveHint=false (non-destructive). The description adds that it returns the created object on success (HTTP 201) and includes the endpoint, which provides some additional context beyond annotations but does not disclose other behavioral traits like permission requirements.

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

Conciseness3/5

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

The description is 4-5 sentences long, including endpoint and API version details that may be considered redundant. The first sentence captures the core purpose, but additional details could be streamlined.

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?

Given the complexity (10 parameters, no output schema), the description provides good context by explaining what Custom Fields are used for (Projects or People) and mentioning the success return. It does not explain the 'values' parameter for select types in detail, but the schema covers that. Overall, it is reasonably complete for a creation tool.

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 for all 10 parameters. The description adds minimal parameter semantics beyond listing required parameters, which are already marked as required in the schema. Thus it does not significantly add meaning beyond the schema.

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 it creates a new Custom Field for a given company ID and explains what Custom Fields are. It distinguishes the action from related siblings like update_custom_field and delete_custom_field implicitly through the verb 'create', but does not explicitly contrast them.

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 description provides context on when to use this tool ('Use this to create a new Custom - Configurable Tools in Procore') and lists required parameters (company_id, name, type). However, it does not specify when not to use it or mention alternatives such as update_custom_field.

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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