Skip to main content
Glama
TylerIlunga

Procore MCP Server

create_equipment_log_project

Create equipment logs in Procore projects to track machinery usage and maintenance for construction project management.

Instructions

Create Equipment Log. [Project Management/Daily Log] POST /rest/v1.0/projects/{project_id}/equipment_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesUnique identifier for the project.
run_configurable_validationsNoIf true, validations are run for the corresponding Configurable Field Set.
equipment_logYesequipment_log
attachmentsNoEquipment 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 fi...
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions a POST endpoint but does not disclose behavioral traits like required permissions, whether it's idempotent, rate limits, or what happens on success/failure. The description adds minimal value beyond the implied creation action.

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 brief and front-loaded with the core action. It includes an endpoint hint which may be useful but could be considered extraneous. Overall, it's efficient with minimal waste.

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

Completeness2/5

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

Given no annotations, no output schema, and a mutation tool with nested objects, the description is inadequate. It lacks information on required permissions, response format, error handling, or how to structure the 'equipment_log' object. This leaves significant gaps for an agent to use the tool correctly.

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 description coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning about parameters (e.g., what 'equipment_log' object should contain, how attachments work). Baseline 3 is appropriate as the schema does the heavy lifting.

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 ('Create') and resource ('Equipment Log'), and includes a category hint ('Project Management/Daily Log'). It does not explicitly differentiate from sibling tools like 'create_equipment_log_company' or 'create_an_project_equipment_log', but the purpose is unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., 'create_equipment_log_company' for company-level logs or 'create_an_project_equipment_log' which appears similar). The description lacks context about prerequisites, project-specific requirements, or exclusions.

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