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TylerIlunga

Procore MCP Server

List Waste Logs

list_waste_logs
Read-onlyIdempotent

Retrieve waste logs for a project, optionally filtered by date or vendor. Results are paginated for easy browsing.

Instructions

Returns all Waste 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}/waste_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__created_by_idNoQuery string parameter — returns item(s) created by the specified User IDs.
filters__vendor_idNoQuery string parameter — return item(s) with the specified Vendor IDs.
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?

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds behavioral context: pagination metadata is included, default date filtering, and a link to external documentation for more details. It does not mention rate limits but adds value beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the main purpose, and each sentence adds value. It includes a link to external docs and covers pagination, required parameters, and default behavior without unnecessary fluff.

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 list endpoint with 9 parameters and no output schema, the description covers essential aspects: default behavior, pagination, filtering, and endpoint details. It could be considered complete enough for an AI agent to use correctly, though missing error handling details.

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 parameters are already documented. The description adds meaningful context: default date behavior (current date if none provided) and that page/per_page control pagination. This goes beyond the schema's descriptions.

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 all Waste Logs for the current date, implying a list operation. It includes filtering and pagination options. However, it does not explicitly differentiate from sibling tools like show_waste_logs, which could cause confusion for an agent.

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 usage context: 'Use this to enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters.' It explains default behavior if no date parameters are provided. However, it does not mention when not to use this tool or mention 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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