Skip to main content
Glama
TylerIlunga

Procore MCP Server

List Timecard Entries (Project)

list_timecard_entries_project
Read-onlyIdempotent

Retrieve timecard entries for a specified project, with optional date range and pagination parameters to filter and paginate results.

Instructions

Returns a list of all timecard entries for the current date. See Working with Daily Logs for information on filtering the response using the log_date, start_date, and end_date parameters. 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: project_id. Procore API: Project Management > Field Productivity. Endpoint: GET /rest/v1.0/projects/{project_id}/timecard_entries

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
log_dateNoQuery string parameter — timecard entries at the specified date. (YYYY-MM-DD)
start_dateNoQuery string parameter — the beginning of the date range for timecard entries. (YYYY-MM-DD) Start date is inclusive.
end_dateNoQuery string parameter — the end of the date range for timecard entries. (YYYY-MM-DD) End date is inclusive.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
filters__daily_log_segment_idNoQuery string parameter — daily Log Segment ID filter
filters__created_by_idNoQuery string parameter — returns item(s) created by the specified User IDs.
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds value by specifying that the response is a paginated JSON array with pagination metadata and linking to documentation for filtering details. This provides behavioral context beyond the annotations.

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 3-4 sentences long, front-loaded with the action and key details. Every sentence provides useful information, including a link to documentation and API endpoint info. No fluff or redundant information.

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?

Given no output schema, the description explains the return type (paginated JSON array of Field Productivity records with pagination metadata) and links to documentation for filtering. However, it lacks differentiation from sibling tools and does not cover error handling or edge cases, making it adequate but not fully complete.

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 coverage is 100%, so baseline is 3. The description adds context by explaining that log_date, start_date, and end_date are for filtering, and that page and per_page control pagination with metadata in the response. It also explicitly mentions the required project_id parameter, going 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 that the tool returns a list of timecard entries for the current date and can be used for paginated overview, finding IDs, or filtering. However, it does not explicitly differentiate this tool from other timecard listing tools (e.g., list_timecard_entries, list_timecard_entries_company), leaving the agent unclear about when to choose this specific variant.

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 using the tool for paginated overview, finding IDs, or filtering, but lacks exclusions or alternatives. It does not guide the agent on when not to use this tool or how it compares to sibling tools, which is necessary given the presence of multiple timecard list endpoints.

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