Skip to main content
Glama
TylerIlunga

Procore MCP Server

List Plan Revision Logs

list_plan_revision_logs
Read-onlyIdempotent

Retrieve plan revision logs for a project. Filter by date range or specific date to get paginated daily log records.

Instructions

Returns all Plan Revision 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}/plan_revision_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__daily_log_segment_idNoQuery string parameter — daily Log Segment ID filter
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?

Discloses default behavior (only current date if no date parameters) and pagination details. Annotations already indicate read-only, idempotent. Description adds value without contradiction.

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?

First sentence conveys purpose. Reasonably concise, though some redundancy exists (e.g., 'Returns all...' and later 'Returns a paginated JSON array...'). Overall well-structured and informative.

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?

Covers date filtering, pagination, required parameter, and response format. References external docs. Adequately complete given annotations and no output schema.

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%, but description adds context on date parameter interaction (default behavior) and pagination control. This goes beyond mere schema 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?

Clearly states 'Returns all Plan Revision Logs for the current date.' Identifies verb and resource. However, does not explicitly differentiate from sibling tools among the many list tools.

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?

Provides guidance on when to use: 'Use this to enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters.' Also references external documentation for filtering. Lacks explicit when-not-to-use or alternative tool mentions.

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