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TylerIlunga

Procore MCP Server

Create Email Communication

create_email_communication

Creates and dispatches an email communication within a Procore project, linking it to a topic and returning a confirmation.

Instructions

Creates a email communication on a given project. Use this to create a new Emails in Procore. Dispatches the message and returns a confirmation. Repeated calls may resend. Required parameters: project_id, topic_type, topic_id, communication, email. Procore API: Project Management > Emails. Endpoint: POST /rest/v1.0/project/{project_id}/email_communications

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
topic_typeYesQuery string parameter — the type of the topic to be associated with the communication
topic_idYesQuery string parameter — unique identifier of the topic
communicationYesJSON request body field — the communication for this Emails operation
emailYesJSON request body field — the email for this Emails operation
Behavior4/5

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

Annotations already indicate non-idempotent and non-destructive. The description adds that the tool dispatches the message and that repeated calls may resend, providing useful behavioral context 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?

The description is concise (5 sentences), front-loaded with the purpose, and includes API endpoint details. It efficiently covers key information without unnecessary verbosity.

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

Completeness3/5

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

Without an output schema, the description does not detail the return value beyond 'returns a confirmation'. It also lacks error handling or prerequisite information, which would improve completeness.

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 already describes all 5 parameters. The description lists required parameters but adds no additional semantic meaning beyond what the schema provides.

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 action ('Creates a email communication'), the resource ('on a given project'), and distinguishes from company-level emails. It also mentions dispatching and returning confirmation, leaving no ambiguity.

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 guidance: when to use (create a new email on a project), required parameters, and a caution about repeated calls. However, it does not compare to similar siblings like create_company_level_email_communication.

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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