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TylerIlunga

Procore MCP Server

List Of Emails

list_of_emails
Read-onlyIdempotent

Retrieve a paginated list of emails from a Procore project by providing project ID, topic type, and topic ID. Control page and item count with page and per_page parameters.

Instructions

Return a list of emails. Use this to enumerate Emails when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Emails. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: project_id, topic_type, topic_id. Procore API: Project Management > Emails. Endpoint: GET /rest/v1.0/project/{project_id}/email_communications/emails

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
topic_typeYesQuery string parameter — the type of the topic to be associated with the communication
topic_idYesQuery string parameter — unique identifier of the topic
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds behavioral context: paginated JSON array with metadata, and specifies the endpoint and required parameters, which goes beyond 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 four sentences, front-loaded with the main purpose, and every sentence adds value. No redundancy or unnecessary information.

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 no output schema, the description explains the return type (paginated JSON array) and mentions pagination metadata. It also includes the API endpoint and required parameters. While it could detail response fields, it is sufficiently complete for a list tool with good annotations.

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?

Input schema has 100% coverage with descriptions. The description adds usage semantics for pagination ('Use page and per_page to control pagination; the response includes pagination metadata') and explicitly lists required parameters, providing 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 'Return a list of emails' and elaborates with usage scenarios (pagination, finding IDs, filtering). It distinguishes itself from siblings by specifying the resource and endpoint, and it lists required parameters.

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 usage guidance ('Use this to enumerate Emails when you need a paginated overview, to find IDs, or to filter by query parameters') but does not mention when not to use 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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