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TylerIlunga

Procore MCP Server

Create Actual Production Quantity

create_actual_production_quantity

Create a new Actual Production Quantity record to log field productivity in Procore. Requires project ID and quantity installed.

Instructions

Create new Actual Production Quantity associated with the specified Project. Use this to create a new Field Productivity records in Procore. Creates a new Field Productivity records and returns the created object on success (HTTP 201). Required parameters: project_id, quantity. Procore API: Project Management > Field Productivity. Endpoint: POST /rest/v1.0/projects/{project_id}/actual_production_quantities

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
quantityYesJSON request body field — amount installed
descriptionNoJSON request body field — the description of the Actual Production Quantity
wbs_code_idNoJSON request body field — the Production Quantity Code for the Actual Production Quantity. This is necessary if your project is configured for Task Codes. DO NOT provide if your project is not configured for Task Codes.
cost_code_idNoJSON request body field — the Cost Code ID for the Actual Production Quantity. DO NOT provide if your project is configured for Task Codes.
crew_idNoJSON request body field — the Crew ID for the Actual Production Quantity
location_idNoJSON request body field — the Location ID for the Actual Production Quantity
timesheet_idNoJSON request body field — the Timesheet ID for the Actual Production Quantity. If the 'timesheet_id' is provided in the request, then the date for the timesheet will be associated with the production quantity, regardless of...
sub_job_idNoJSON request body field — the Sub Job ID for the Actual Production Quantity. DO NOT provide if your project is configured for Task Codes.
dateNoJSON request body field — date the Actual Production Quantity was installed. The date will be associated with the production quantity only when 'timesheet_id' is not included in the request.
Behavior3/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false, and the description confirms creation (write, non-destructive) and HTTP 201 return. It adds no further behavioral details (e.g., idempotency, side effects, auth requirements). No contradiction with 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 four sentences but contains redundancy ('Create new...create a new Field Productivity records'). It front-loads the purpose and mixes endpoint details. Acceptable but could be more concise without losing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic purpose, return value, required params, and API endpoint. However, it does not synthesize parameter selection logic (e.g., wbs_code_id vs. cost_code_id) or explain how the response object looks. Given no output schema, more context would be helpful.

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 only reiterates that project_id and quantity are required, which is already in the schema. It does not add meaningful insight into parameter usage beyond what the schema provides.

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 Actual Production Quantity for a specified project. It identifies the resource and action, and implies singular creation (vs. bulk). However, it uses slightly redundant phrasing ('Create new...create a new Field Productivity records') and does not explicitly distinguish from the bulk_create sibling.

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 mentions required parameters and that it creates a single record, but provides no explicit guidance on when to use this tool vs. alternatives like bulk_create_actual_production_quantities. The context of siblings implies singular use, but no direct exclusions or comparisons are given.

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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