Skip to main content
Glama
TylerIlunga

Procore MCP Server

List Timecard Time Types

list_timecard_time_types_company
Read-onlyIdempotent

Retrieve a paginated list of timecard time types for a company to identify field productivity records or find IDs. Use with company_id and optional pagination.

Instructions

Return a list of all Timecard Time Types for a specified Company. Use this to enumerate Field Productivity records when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Field Productivity records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: company_id. Procore API: Project Management > Field Productivity. Endpoint: GET /rest/v1.0/companies/{company_id}/timecard_time_types

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
pageNoPage number for paginated results (default: 1)
per_pageNoNumber of items per page (default: 100, max: 100)
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds value by explaining pagination behavior (page, per_page) and that the response includes pagination metadata. No contradictions.

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 concise with 6 sentences that are well-structured: purpose first, then usage, return format, pagination control, required parameter, API reference. No verbose filler.

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 simple list tool with 3 parameters, the description covers purpose, use cases, pagination details, required parameter, and API endpoint. It lacks output schema but notes pagination metadata. No significant gaps.

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 baseline is 3. The description adds context for page and per_page (control pagination) but the schema already describes them. 'Required parameters: company_id' repeats schema. Minimal added semantic value.

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 returns a list of Timecard Time Types for a company. The verb 'Return a list' and the resource are explicit. However, it inconsistently refers to 'Field Productivity records' which may not match the resource name, slightly reducing clarity.

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 some usage guidance: 'Use this to enumerate Field Productivity records when you need a paginated overview, to find IDs, or to filter by query parameters.' It does not explicitly mention when not to use or offer alternative tools, which is moderate guidance.

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