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TylerIlunga

Procore MCP Server

Create Equipment Maintenance Log

create_equipment_maintenance_log

Create a new equipment maintenance log entry in Procore, recording last and next service dates with optional attachments for field productivity tracking.

Instructions

Create a new equipment maintenance log entry. 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: company_id. Procore API: Project Management > Field Productivity. Endpoint: POST /rest/v1.0/companies/{company_id}/managed_equipment_maintenance_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
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.
Behavior3/5

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

The description indicates a create operation (HTTP 201), which aligns with readOnlyHint=false and destructiveHint=false. It does not add significant behavioral context beyond what annotations already provide, such as side effects or authorization needs.

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 functional but slightly wordy; it includes redundant information about 'Field Productivity records'. It could be more streamlined while retaining essential details.

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 basics (creation, required param, endpoint, return status) but lacks information about error conditions, prerequisites, or relationship to other tools. For a simple CRUD tool with good schema coverage, this is adequate but not thorough.

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% and each parameter is already described in the schema. The description adds no new parameter details beyond highlighting company_id as required and providing the endpoint pattern.

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 the verb 'Create' and the resource 'equipment maintenance log entry'. It distinguishes itself from siblings by specifying the exact resource type, though the mention of 'Field Productivity records' causes minor confusion.

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 the required parameter (company_id) and provides API endpoint details, but does not explicitly guide when to use this tool versus other log creation tools. No alternatives or exclusions are stated.

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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