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TylerIlunga

Procore MCP Server

create_equipment_model_company_v2_0

Add equipment models to a company's Procore equipment register by specifying model name, make, type, and activation status.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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' but doesn't clarify if this is a mutating operation, what permissions are required, or how errors are handled. The description lacks details on side effects, response format, or any constraints, leaving significant gaps in behavioral understanding.

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 includes the core action and API endpoint. It's front-loaded with the key information ('Create equipment model (Company)') and avoids unnecessary details. However, it could be slightly more structured by separating conceptual purpose from technical endpoint.

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 inadequate. It doesn't explain what an equipment model is, what happens after creation, or any success/error responses. For a mutating operation with zero structured coverage, the description should provide more context to guide the agent effectively.

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 schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond implying a company context via the URL path. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.

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') and resource ('equipment model (Company)'), making the purpose evident. It distinguishes from sibling tools like 'create_equipment_model_project_v2_0' by specifying the company context, though it doesn't explicitly contrast them. The description is specific but could be more explicit about sibling 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. It mentions the company context but doesn't explain prerequisites, such as needing an existing company ID or when to choose this over project-specific equipment model creation. Without usage context, the agent lacks decision-making criteria.

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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