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TylerIlunga

Procore MCP Server

Create Unit Of Measure

create_unit_of_measure

Create a new Unit of Measure in Procore by providing company, name, and category ID. Returns the created UOM record.

Instructions

Create a new Unit of Measure (UOM). Use this to create a new Units of Measure records in Procore. Creates a new Units of Measure records and returns the created object on success (HTTP 201). Required parameters: company_id, name, uom_category_id. Procore API: Construction Financials > Units of Measure. Endpoint: POST /rest/v1.0/companies/{company_id}/uoms

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
nameYesJSON request body field — name of the Unit of Measure
uom_category_idYesJSON request body field — iD of the Unit of Measure Category
Behavior4/5

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

Annotations already indicate a non-read-only, non-destructive operation. The description adds that it returns the created object on HTTP 201, providing behavioral context beyond annotations.

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

Conciseness5/5

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

The description is two sentences, front-loaded with the core action, and includes essential details (required params, success response, API reference) without superfluous content.

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 create operation with three parameters and no output schema, the description adequately covers purpose, required fields, and success outcome. It could mention the return object structure but is sufficient.

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 descriptions already cover the parameters (company_id, name, uom_category_id) with clear meanings. The description lists required parameters but does not add new semantic information 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 Unit of Measure and lists required fields, but does not explicitly distinguish from sibling tools like update_unit_of_measure or list_units_of_measure.

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 says 'Use this to create a new Units of Measure records', which implies creation only. However, it does not explicitly state when not to use it or mention 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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