Skip to main content
Glama
TylerIlunga

Procore MCP Server

Update A Single Resource Request

update_a_single_resource_request

Update an existing resource request in Procore by sending only the fields to change. Provide company_id and request_id; returns the updated resource request.

Instructions

Updates an existing Resource Request within a company. Only specified properties in the request body will be updated. company_id defaults to the value set by procore_set_config when omitted, and request_id must identify an existing parent record — resolve it with the matching list tool first. Applies the change and returns the updated resource request. Failures come back as an error payload carrying the HTTP status — commonly 401 when the token has expired, 403 without tool permission, and 404 when an id does not resolve. Required parameters: company_id, request_id. Procore API: Resource Management > Resource Planning. Endpoint: POST /rest/v1.0/workforce-planning/v2/companies/{company_id}/resource-requests/{request_id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dayNoJSON request body field — the last day the requested resource is needed (ISO 8601).
end_timeNoJSON request body field — end time of the request (HH:MM am/pm format).
state_idNoJSON request body field — uUID of the Assignment State.
start_dayNoJSON request body field — the first day the requested resource is needed (ISO 8601).
work_daysNoJSON request body field — object to control working days (Sunday - Saturday as 0-6 index).
company_idYesURL path parameter — unique identifier for the company. This parameter accepts both formats: - **Recommended**: Procore company ID (integer) - Use this for new integrations - Legacy: LaborChart UUID format (uuid string...
request_idYesURL path parameter — unique identifier for the Resource Request.
start_timeNoJSON request body field — start time of the request (HH:MM am/pm format).
category_idNoJSON request body field — uUID of the Project Category.
job_title_idNoJSON request body field — job Title UUID for this request.
subcategory_idNoJSON request body field — uUID of the Project Subcategory.
work_scope_textNoJSON request body field — scope of Work for the Resource Request.
instruction_textNoJSON request body field — instructions for the Resource Request.
percent_allocatedNoJSON request body field — allocation percentage if the request is not hour-based.
Behavior4/5

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

The description adds valuable behavioral context beyond the annotations: partial-update semantics, error payload details with common HTTP statuses (401, 403, 404), and the default for company_id. Annotations only provide hints (readOnlyHint=false, etc.), so this description meaningfully discloses behavior without contradicting the 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 dense yet well-organized, front-loading the core action and then covering behavior, prerequisites, response, errors, required parameters, and API endpoint. Every sentence contributes essential information with no redundancy, making it appropriately sized for a tool with 14 parameters.

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?

Despite the lack of an output schema, the description covers key operational aspects: what the tool does, how it behaves (partial update), prerequisites, error handling, and the return value. It does not elaborate on the structure of the returned resource request, but given the rich schema and the description's other details, it is largely complete for agent use.

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?

The schema covers 100% of parameters, so the baseline is 3, but the description adds meaning by explaining the partial-update effect (only specified body fields are applied), the default behavior for company_id, and the requirement that request_id must reference an existing record. This goes beyond what the schema descriptions provide, justifying a 4.

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's purpose: 'Updates an existing Resource Request within a company.' It uses a specific verb ('updates') and resource ('Resource Request'), and the context of 'existing' differentiates it from create/delete siblings like 'create_a_resource_request_on_a_project' and 'delete_a_resource_request'.

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 usage context: it explains the partial update behavior ('Only specified properties in the request body will be updated') and instructs the agent to 'resolve it with the matching list tool first' before using this tool. It also notes company_id defaulting from procore_set_config. However, it does not explicitly name alternative tools or state when not to use this tool, so it falls short of a 5.

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