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TylerIlunga

Procore MCP Server

List All Equipment Types

list_all_equipment_types
Read-onlyIdempotent

Retrieve all equipment types for a company to enumerate Field Productivity records. Supports pagination and query filters to find IDs or filter records.

Instructions

Return a list of all equipment types. Use this to enumerate Field Productivity records when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Field Productivity records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: company_id. Procore API: Project Management > Field Productivity. Endpoint: GET /rest/v1.0/companies/{company_id}/managed_equipment_types

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
Behavior4/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that it returns a paginated JSON array with pagination metadata, which is helpful behavioral context. No contradiction.

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?

The description is 4 sentences and includes the endpoint and API context. While informative, it is slightly verbose and could be more concise.

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 the tool's simplicity, the description covers return format (paginated JSON array with metadata), purpose, required parameter, and API endpoint. No output schema exists, but the description adequately describes the output.

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?

Input schema has 100% coverage with descriptions for all 3 parameters. The description mentions 'Use page and per_page to control pagination' and 'Required parameters: company_id', but adds little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Return a list of all equipment types' and explains usage for paginated overview, finding IDs, or filtering. However, it does not explicitly differentiate from sibling tools like 'list_all_equipment_company' or 'list_all_equipment_types_company'.

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: 'Use this to enumerate Field Productivity records when you need a paginated overview, to find IDs, or to filter by query parameters.' This tells when to use it. It does not mention when not to use or alternatives, but the context is clear.

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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