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TylerIlunga

Procore MCP Server

List Daily Construction Report Logs

list_daily_construction_report_logs
Read-onlyIdempotent

Retrieve paginated daily construction report logs for a Procore project. Filter by date range, status, or creator to find specific logs.

Instructions

Returns all approved Daily Construction Report 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}/daily_construction_report_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 — return item(s) created by the specified User ID
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?

The description adds behavioral context beyond annotations: it explains that only approved logs are returned, default date behavior, and pagination details (page, per_page, pagination metadata). No contradiction with annotations (readOnlyHint, idempotentHint, etc.).

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 a single paragraph with several sentences, each adding value (purpose, filtering, use cases, pagination, required parameter, API info). It could be slightly more concise but is not bloated.

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 complexity (9 parameters, 1 required) and no output schema, the description adequately covers purpose, filtering, default behavior, and pagination. It includes a link for detailed filtering, making it sufficient for an AI agent.

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 the baseline is 3. The description adds some value by grouping date parameters and explaining pagination, but does not provide additional meaning beyond schema explanations.

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 the tool returns all approved Daily Construction Report Logs for the current date and explains its use for paginated overview, finding IDs, or filtering. It distinguishes this tool from many sibling tools that list other log types.

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 explicit guidance on when to use the tool (paginated overview, find IDs, filter) and default behavior when no date parameters are given. It also includes a link for further filtering details. However, it does not explicitly state when not to use it or name alternatives.

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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