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TylerIlunga

Procore MCP Server

Get Single Custom Field

get_single_custom_field
Read-onlyIdempotent

Get the full details of a specific custom field by its ID and company ID. Use this to retrieve configuration data for custom configurable tools.

Instructions

Retrieves a single Custom Field by its ID. Use this to fetch the full details of a specific Custom - Configurable Tools by its identifier. Returns a JSON object describing the requested Custom - Configurable Tools. Required parameters: company_id, field_id. Procore API: Company Admin > Custom - Configurable Tools. Endpoint: GET /rest/v1.0/workforce-planning/v2/companies/{company_id}/custom-fields/{field_id}

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...
field_idYesURL path parameter — uUID of the Custom Field.
pageNoPage number for paginated results (default: 1)
per_pageNoNumber of items per page (default: 100, max: 100)
Behavior3/5

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

Annotations already provide readOnlyHint=true and idempotentHint=true. The description adds context about the API endpoint and return type but does not reveal significant new behavioral traits beyond what annotations convey.

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?

The description is concise with four sentences, front-loading the purpose and including necessary usage details and API context. It is well-structured and efficient.

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?

For a simple read operation, the description sufficiently covers purpose, endpoint, required parameters, and return type. No output schema exists, but the description adequately indicates the response nature.

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 description coverage is 100%, so the schema already documents all parameters. The description mentions required parameters but does not add additional semantic 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 retrieves a single custom field by ID using the verb 'Retrieves' and specifies the resource. It is specific but does not explicitly differentiate from sibling tools like get_all_custom_fields.

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 indicates when to use the tool to fetch full details of a specific custom field. However, it lacks guidance on when not to use it or mention 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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