Skip to main content
Glama
TylerIlunga

Procore MCP Server

Bulk Create Plan Template References

bulk_create_plan_template_references

Create multiple action plan template references in one request, with support for partial failures. Bulk create records for Procore Action Plans using a single API call.

Instructions

Bulk Create Plan Template References. Use this to create many Action Plans records in a single request. Creates many Action Plans records in one request and returns the created collection (HTTP 201). Partial failures may occur — check each item's status. Required parameters: company_id, plan_template_references. Procore API: Project Management > Action Plans. Endpoint: POST /rest/v1.0/companies/{company_id}/action_plans/plan_template_references/bulk_create

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
completion_modeNoQuery string parameter — whether to update what can be or nothing if one can not be updated. Defaults to "all_or_nothing"
plan_template_referencesYesJSON request body field — plan_template_references
Behavior4/5

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

Description adds value beyond annotations by noting partial failures and HTTP 201 response. Annotations (readOnlyHint=false, destructiveHint=false) are consistent; the description clarifies the write operation and error handling.

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

Conciseness3/5

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

Description is informative but slightly verbose, including endpoint path and Procore API reference. Could be trimmed to essential lines, but still well-structured and readable.

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 3 parameters, no output schema, and minimal annotations, the description adequately covers purpose, required fields, partial failure behavior, and API context. Agent has enough to decide and invoke correctly.

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% and descriptions in schema already explain parameters. Description adds no additional semantic insight beyond repeating required parameter names ('company_id, plan_template_references').

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?

Description clearly states the verb 'create' and resource 'plan template references', distinguishing it from sibling bulk_create tools (e.g., bulk_create_action_plan_template_references) by specifying 'Action Plans records' and the endpoint path.

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?

Explicitly says 'Use this to create many Action Plans records in a single request' and warns about partial failures. However, it does not explicitly list when not to use it or alternatives among the many bulk_create siblings.

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