Skip to main content
Glama
TylerIlunga

Procore MCP Server

Create Quantity Log

create_quantity_log

Creates a quantity log for Procore daily logs. Provide project ID and quantity log data; attachments optional.

Instructions

Creates single Quantity Log. #### See - Daily Log guide - for additional info on * Attachments * Locations. Use this to create a new Daily Log records in Procore. Creates a new Daily Log records and returns the created object on success (HTTP 201). Required parameters: project_id, quantity_log. Procore API: Project Management > Daily Log. Endpoint: POST /rest/v1.0/projects/{project_id}/quantity_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
quantity_logYesJSON request body field — the quantity log for this Daily Log operation
attachmentsNoJSON request body field — quantity Log Attachments. To upload attachments you must upload the entire payload as `multipart/form-data` content-type and specify each parameter as form-data together with `attachments[]` as files.
Behavior3/5

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

Annotations already indicate non-read-only, non-destructive, non-idempotent behavior. The description adds HTTP 201 response and multipart/form-data for attachments, but does not cover authorization, rate limits, or side effects.

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 includes some redundancy ('Creates single Quantity Log' and 'Use this to create a new Daily Log records') and extraneous endpoint info, but is relatively brief.

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 mentions the return object and HTTP status, but lacks detail on error cases and optional parameters. Adequate for a moderately complex tool with 3 parameters.

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?

With 100% schema coverage, the description adds practical value by explaining the multipart/form-data requirement for attachments, which goes 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 the action ('creates') and the resource ('Quantity Log'), with reference to Daily Log records. It is specific but does not explicitly differentiate from sibling tools like create_manpower_log.

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 provides general usage context ('Use this to create a new Daily Log records') and lists required parameters, but lacks guidance on when not to use it or alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TylerIlunga/procore-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server