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TylerIlunga

Procore MCP Server

create_equipment_model_project_v2_0

Add equipment models to Procore projects to track machinery specifications, maintenance requirements, and operational details for construction management.

Instructions

Create equipment model (Project). [Core/Equipment] POST /rest/v2.0/companies/{company_id}/projects/{project_id}/equipment_register_models

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesUnique identifier for the project.
company_idYesUnique identifier for the company.
nameYesThe name of the equipment model.
make_idYesThe unique identifier of the equipment make.
type_idNotype_id
is_activeYesActive/Inactive indicator for Equipment Model.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It states 'Create equipment model (Project)', implying a write operation, but does not mention required permissions, whether it's idempotent, potential side effects, or error conditions. This leaves significant gaps in understanding the tool's behavior.

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 a single, efficient sentence that directly states the tool's purpose. It includes the HTTP method and endpoint, which is useful but could be considered extraneous. Overall, it is well-structured and avoids unnecessary verbosity.

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

Completeness2/5

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

Given the complexity of a creation tool with no annotations and no output schema, the description is insufficient. It lacks details on success/failure responses, required authentication, or how the created model integrates with the system. For a tool that likely modifies data, more contextual information is needed.

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%, with all parameters documented in the schema. The description adds no additional semantic context about parameters, such as typical values or relationships between fields like 'make_id' and 'type_id'. Baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

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 the action ('Create equipment model') and the resource ('Project'), making the purpose specific and understandable. However, it does not distinguish this tool from its sibling 'create_equipment_model_company_v2_0' (which likely creates equipment models at the company level), missing explicit differentiation.

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 alternatives, such as the sibling tool 'create_equipment_model_company_v2_0'. It lacks context about prerequisites, constraints, or typical scenarios for creating an equipment model in a project, offering minimal usage direction.

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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