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TylerIlunga

Procore MCP Server

List Manpower Logs

list_manpower_logs
Read-onlyIdempotent

Retrieve approved manpower logs for the current date or filter by date range, status, location, vendor, and more. Use pagination to control results.

Instructions

Returns all approved Manpower Logs 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. Note that if none of the date parameters are provided in the call, only logs from the current date are returned. Use this to enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Daily Log records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: project_id. Procore API: Project Management > Daily Log. Endpoint: GET /rest/v1.0/projects/{project_id}/manpower_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
log_dateNoQuery string parameter — date of specific logs desired in YYYY-MM-DD format
start_dateNoQuery string parameter — start date of specific logs desired in YYYY-MM-DD format (use together with end_date)
end_dateNoQuery string parameter — end date of specific logs desired in YYYY-MM-DD format (use together with start_date)
filters__statusNoQuery string parameter — filter on status for "pending" or "approved" or "all"
filters__created_by_idNoQuery string parameter — returns item(s) created by the specified User IDs.
filters__location_idNoQuery string parameter — return item(s) with the specified Location IDs.
filters__vendor_idNoQuery string parameter — return item(s) with the specified Vendor IDs.
filters__searchNoQuery string parameter — returns item(s) matching the specified search query string.
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
Behavior4/5

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

Beyond the annotations indicating read-only and idempotent behavior, the description adds that logs are filtered to approved status by default, and that only current date logs are returned if no date parameters are specified. It also mentions pagination metadata, providing useful operational context.

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 well-structured, starting with the main purpose and then providing additional details about filtering, pagination, and required parameters. It includes a helpful link to documentation but could be slightly more concise.

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?

Given the tool has 12 parameters, no output schema, and moderate complexity, the description covers the essential aspects: default behavior, pagination, required parameter, and filtering capabilities. The link to documentation fills any remaining 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?

With 100% schema description coverage, the description adds marginal value by clarifying the default date behavior (current date if no params) and the pagination usage. However, it does not explain each parameter beyond what the schema provides, fitting the baseline for high coverage.

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 it returns approved Manpower Logs with optional date filtering, and distinguishes itself from sibling tools like create, show, update, and delete by focusing on listing and enumeration. It specifies the endpoint and the resource being listed.

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?

The description provides clear guidance on when to use the tool: for paginated overviews, finding IDs, or filtering by query parameters. It does not explicitly exclude usage scenarios or mention alternatives like show_manpower_logs for single records, but the context is sufficient for an AI agent.

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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