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TylerIlunga

Procore MCP Server

Create Visitor Log

create_visitor_log

Add a visitor log entry to a Procore project. Provide project ID and visitor log details to record a new daily log entry for visitor access.

Instructions

Creates a single Visitor Log in the specified Project. Use this to create a new Daily Log records in Procore. Creates a new Daily Log records and returns the created object on success (HTTP 201). Required parameters: project_id, visitor_log. Procore API: Project Management > Daily Log. Endpoint: POST /rest/v1.0/projects/{project_id}/visitor_logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
run_configurable_validationsNoQuery string parameter — if true, validations are run for the corresponding Configurable Field Set.
visitor_logYesJSON request body field — the visitor log for this Daily Log operation
Behavior3/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, so the description adds value by confirming it creates a new record and returns 201 on success. However, it does not disclose side effects like duplicate handling or preconditions beyond required parameters.

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 functional and includes useful details like required parameters and endpoint. However, it unnecessarily repeats 'Creates a new Daily Log records' twice, and the API path adds length without essential context for an AI agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a nested input object (visitor_log) with additionalProperties allowed, but the description does not elaborate on expected fields or structure. With no output schema, the agent lacks guidance on response format beyond 'created object.' This is a significant gap.

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 each parameter is already documented in the schema. The description only lists required parameters without adding further detail or context beyond what the schema provides, thus adding no extra value.

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 'Creates a single Visitor Log in the specified Project,' specifying the verb, resource, and scope. It distinguishes this tool from sibling tools like list_visitor_logs, update_visitor_log, and delete_visitor_log by explicitly stating its create function.

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 says 'Use this to create a new Daily Log records in Procore,' providing clear intent. It implicitly guides the agent to use this tool when a new visitor log is needed, but does not explicitly mention when not to use it or alternative tools.

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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