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TylerIlunga

Procore MCP Server

Create Productivity Log

create_productivity_log

Create a productivity log in Procore Daily Log with project_id and productivity_log. The API returns the new log ID.

Instructions

Creates single Productivity Log #### Click - Daily Log guide - for additional info on * Attachments #### Note: The required Line Item ID to create a Productivity Log must be from an approved Contract #### How to find a Line Item ID * If the Line Item comes from a Work Order Contract use the Work Order Contracts List endpoint * If the Line Item comes from a Purchase Order Contract use the Purchase Order Contracts List endpoint * Use filter - filters[status] 'Approved' - to get list of approved Contracts * Use the Contract ID to the Show endpoint to get the Line Item ID associated with the Contract. project_id defaults to the value set by procore_set_config when omitted. Creates the productivity log and returns it with its new id (HTTP 201); calling it again creates another record. Failures come back as an error payload carrying the HTTP status — commonly 401 when the token has expired, 403 without tool permission, and 404 when an id does not resolve. Required parameters: project_id, productivity_log. Procore API: Project Management > Daily Log. Endpoint: POST /rest/v1.0/projects/{project_id}/productivity_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
productivity_logYesJSON request body field — the productivity log for this Daily Log operation
Behavior5/5

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

The description adds significant behavioral detail beyond the annotations: it explicitly states non-idempotency ("calling it again creates another record"), describes the success response (HTTP 201 with new id), and enumerates common failure statuses (401, 403, 404) and their meanings. Also notes project_id defaults from procore_set_config. This goes well beyond the structured annotation hints.

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

Conciseness2/5

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

The description is unnecessarily long and poorly structured, with markdown headings, bullet points, and scattered information. Key details like the container of Line Item ID instructions are placed in the middle, and the description repeats the create action later. It would benefit from briefer, more front-loaded phrasing.

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?

Despite its verbosity, the description covers all essential usage aspects: purpose, required parameters, project_id default, the Line Item ID prerequisite and how to obtain it, response behavior, error handling, and the API endpoint. The link to the Daily Log guide fills the gap for attachment details. For a tool with a nested object and no output schema, this is fairly complete, though it could be tighter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema already describes both parameters with 100% coverage, but the description adds meaningful context: it explains that project_id defaults to procore_set_config when omitted, and it provides guidance on the required Line Item ID within the productivity_log body, which is not detailed in the schema (additionalProperties is true). This compensates for the schema's lack of nested field detail.

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?

The description clearly states "Creates single Productivity Log" and later "Creates the productivity log and returns it with its new id (HTTP 201)", unambiguously indicating a create operation. This distinguishes it from sibling tools like list_productivity_logs, update_productivity_log, and delete_productivity_log, which are all present in the sibling list.

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?

Provides clear context that this tool is for creating new productivity logs, not updating or listing. It details prerequisites (Line Item ID from an approved contract) and explains how to find that ID using other endpoints. It does not explicitly name alternative tools for non-create operations, so it stops short of full when/when-not guidance.

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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