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TylerIlunga

Procore MCP Server

Get All Equipment Makes (Project)

get_all_equipment_makes_project
Read-onlyIdempotent

Retrieve a paginated list of equipment makes for a specific project. Use project and company identifiers to filter results.

Instructions

Get all equipment makes (Project). Use this to fetch the full details of a specific Equipment records by its identifier. Returns a paginated JSON array of Equipment records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: per_page, project_id, company_id. Procore API (v2.0): Core > Equipment. Endpoint: GET /rest/v2.0/companies/{company_id}/projects/{project_id}/equipment_register_makes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
company_idYesURL path parameter — unique identifier for the company.
pageNoQuery string parameter — the page number to retrieve. Default is 1.
per_pageYesQuery string parameter — number of records per page
filters__is_activeNoQuery string parameter — filter results by is active
Behavior4/5

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

Annotations already indicate readOnlyHint, idempotentHint, etc. The description adds value by explicitly stating paginated results with metadata and listing required parameters. This goes beyond what annotations provide, though no unexpected behaviors are disclosed.

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 fairly concise but includes redundancy (e.g., 'Get all equipment makes (Project)' and 'Use this to fetch...') and extraneous details (full API endpoint). It could be more streamlined without losing clarity.

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?

The description covers the basic purpose and pagination but lacks details about the return structure (fields of each make) and filtering options beyond 'is_active'. With no output schema, more context on the response format would enhance 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 description coverage is 100%, so the baseline is 3. The description lists required parameters but adds no additional meaning beyond the schema. It does not explain the 'filters__is_active' parameter or clarify parameter formats.

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 title and description clearly state the tool retrieves equipment makes for a project. However, there is a minor inconsistency: the description says 'fetch the full details of a specific Equipment records by its identifier' but then mentions a paginated array, implying multiple records. The term 'Equipment records' is also misleading since the tool returns makes, not equipment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus siblings like 'get_all_equipment_makes_company' or 'show_an_equipment_make'. It states required parameters but does not explain the context for selecting this tool over alternatives.

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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