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TylerIlunga

Procore MCP Server

Show Custom Field Lov Entry

show_custom_field_lov_entry
Read-onlyIdempotent

Fetch detailed information for a specific custom field list of values entry by its custom field definition ID, entry ID, and company ID.

Instructions

Returns the details for a specified Custom Field Lov Entry. 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: custom_field_definition_id, id, company_id. Procore API: Company Admin > Custom - Configurable Tools. Endpoint: GET /rest/v1.0/custom_field_definitions/{custom_field_definition_id}/custom_field_lov_entries/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
custom_field_definition_idYesURL path parameter — unique identifier for the Custom Field Definition.
idYesURL path parameter — unique identifier for the Custom Field List of Values (LOV) Entry.
company_idYesQuery string parameter — unique identifier for the company.
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 declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds endpoint and category context but no additional behavioral traits beyond what annotations provide.

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. However, it includes some redundant phrasing like 'Custom - Configurable Tools' repeated.

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 with 5 parameters and no output schema, the description covers purpose, required params, endpoint, and output format. It is complete enough for an agent to use 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 baseline is 3. The description lists required parameters but does not add meaning beyond what the schema already provides.

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 it returns details for a specific Custom Field Lov Entry, using the verb 'Returns' and specifying the resource. It distinguishes from sibling tools like list and bulk operations by focusing on a single entry.

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 implies when to use (to fetch details of a specific entry) but does not explicitly mention alternatives or when not to use. The sibling tool names provide context but are not referenced in the description.

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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