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TylerIlunga

Procore MCP Server

List Custom Field Definition'S Configurable Field Sets

list_custom_field_definitions_configurable_field_sets
Read-onlyIdempotent

Retrieve a paginated list of configurable field sets for a specific custom field definition. Use to find IDs or filter results by query parameters.

Instructions

Return a list of all Configurable Field Sets for a given Custom Field Definition associated with the Current Company. Use this to enumerate Custom - Configurable Tools when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Custom - Configurable Tools. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: company_id, custom_field_definition_id. Procore API: Company Admin > Custom - Configurable Tools. Endpoint: GET /rest/v1.0/companies/{company_id}/custom_field_definitions/{custom_field_definition_id}/configurable_field_sets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
custom_field_definition_idYesURL path parameter — custom Field Definition ID
pageNoPage number for paginated results (default: 1)
per_pageNoNumber of items per page (default: 100, max: 100)
Behavior4/5

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

Beyond annotations (readOnlyHint=true, etc.), the description adds that the response is a paginated JSON array with metadata, and mentions pagination control via page and per_page. This provides useful behavioral context without contradicting annotations.

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 two sentences with additional API endpoint info, which is somewhat verbose. It could be more streamlined, but the information is relevant and front-loaded with the key action.

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 tool's complexity (4 params, no output schema), the description covers the response format, pagination, required params, and even the API endpoint. This is sufficient for an AI to use the tool correctly.

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 coverage is 100%, so the description adds little extra for parameters. It does reiterate required parameters and mentions pagination, but does not significantly enhance understanding beyond the existing schema descriptions.

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 clearly states the action (return a list of configurable field sets), the resource (custom field definition), and the scope (current company). It also mentions use cases like enumerating tools and finding IDs, making the purpose unambiguous.

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?

The description advises when to use this tool ('enumerate Custom - Configurable Tools when you need a paginated overview, to find IDs, or to filter by query parameters') but does not explicitly exclude scenarios or mention alternatives. Still, it provides clear context for usage.

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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