Skip to main content
Glama
TylerIlunga

Procore MCP Server

Remove Values From Custom Field

remove_values_from_custom_field
DestructiveIdempotent

Permanently delete specified values from a custom field of type select or multi-select. This action cannot be undone.

Instructions

Removes specified values from a Custom Field with type select or multi-select. Use this to permanently delete the specified Custom - Configurable Tools. This cannot be undone. Permanently removes the specified Custom - Configurable Tools. This action cannot be undone. Required parameters: company_id, field_id, values. Procore API: Company Admin > Custom - Configurable Tools. Endpoint: DELETE /rest/v1.0/workforce-planning/v2/companies/{company_id}/custom-fields/{field_id}/values

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.
valuesYesJSON request body field — list of values to remove from the field.
Behavior4/5

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

Annotations declare destructiveHint=true, and the description reinforces permanence with 'This cannot be undone' and 'Permanently removes'. Adds context that it only works on select/multi-select fields, beyond what annotations provide. No contradiction.

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 repeats 'Permanently removes the specified Custom - Configurable Tools' twice. Includes API endpoint info which, while useful, adds length. Could be more concise.

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 deletion tool with 3 parameters and no output schema, the description covers purpose, constraints, and irreversibility. Annotations provide safety info. Sufficient for selecting and invoking the 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?

Schema coverage is 100% with detailed parameter descriptions. The description only lists the required parameters without adding new meaning. Baseline 3 is appropriate.

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 'removes', the resource 'values from a Custom Field', and constraints (only select/multi-select types). Distinguishes from sibling 'add_values_to_custom_field' by being the removal counterpart.

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?

Explicitly states when to use (to remove values) and warns that the action is permanent and cannot be undone. Implicitly distinguishes from adding values but does not explicitly state when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TylerIlunga/procore-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server