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TylerIlunga

Procore MCP Server

Create Project Equipment Maintenance Log

create_project_equipment_maintenance_log

Create a new equipment maintenance log for a project in Procore, recording service dates and attachments to track field productivity.

Instructions

Create Project Equipment Maintenance Log. 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. Procore API: Project Management > Field Productivity. Endpoint: POST /rest/v1.0/projects/{project_id}/managed_equipment_maintenance_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
managed_equipment_idNoJSON request body field — equipment Id the maintenance log is associated with
last_service_dateNoJSON request body field — the Date the equipment was last services
next_service_dateNoJSON request body field — next service date for the equipment
upload_idsNoJSON request body field — the specified array of upload ids is saved as Managed Equipment Maintenance Logs Attachments.
Behavior4/5

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

The description adds value beyond annotations by specifying the HTTP 201 success response and the endpoint. Annotations already indicate a non-destructive write operation. Additional context about return object is helpful.

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 relatively concise, but it includes some redundancy (e.g., repeated 'Create Project Equipment Maintenance Log' and 'new Field Productivity records'). Overall, it's efficient and front-loaded.

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 creation tool with full schema coverage, the description provides adequate context including endpoint and return status. It lacks details on constraints or error handling but is complete enough for basic use.

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 minimal value. It mentions 'Required parameters: project_id' but that is already in schema. No further explanation of other parameters is provided.

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 Project Equipment Maintenance Log, specifying the resource and action. However, it ambiguously refers to 'Field Productivity records' without clarifying the relation, and it doesn't differentiate from similar sibling tools like 'create_equipment_maintenance_log' (company-level).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It only states the action and required parameter, missing when-not-to-use or prerequisite context.

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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