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TylerIlunga

Procore MCP Server

Get All Equipment Models (Project)

get_all_equipment_models_project
Read-onlyIdempotent

Retrieve all equipment models for a specified project with pagination. Use filters to refine results by active status or make ID.

Instructions

Get all equipment models (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_models

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
filters__make_idNoQuery string parameter — filter results by make id
Behavior3/5

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

The description adds that the tool returns a paginated JSON array with pagination metadata and lists required parameters. This is useful beyond the annotations, which already declare readOnlyHint and idempotentHint. However, the 'specific record' language introduces confusion, lowering the score.

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 five sentences, but the first two sentences are contradictory and redundant. The later sentences about pagination and required params are useful. The structure could be tightened to avoid the initial confusion.

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 explains the return type (paginated JSON array with pagination metadata) and lists required parameters. However, the purpose confusion leaves the agent unsure of the tool's exact function, which is a significant gap.

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%, so the schema documents all parameters. The description adds minimal value by stating required parameters and the pagination parameters' purpose. It does not elaborate on the filter parameters (filters__is_active, filters__make_id) beyond what the schema provides.

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

Purpose2/5

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

The description states 'Get all equipment models (Project)' but then contradicts itself saying 'fetch the full details of a specific Equipment records by its identifier.' This inconsistency severely undermines clarity; a user cannot tell if the tool returns a list or a single record.

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?

No guidance is provided on when to use this tool versus alternatives like the company-level 'get_all_equipment_models_company'. The description also fails to specify that this tool is for listing, not fetching a single model, despite the contradictory language.

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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