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TylerIlunga

Procore MCP Server

Show Equipment

show_equipment_company
Read-onlyIdempotent

Retrieve full details of a managed equipment record by company and equipment ID for Procore Field Productivity.

Instructions

Return Equipment detailed information. Use this to fetch the full details of a specific Field Productivity records by its identifier. Returns a JSON object describing the requested Field Productivity records. Required parameters: company_id, id. Procore API: Project Management > Field Productivity. Endpoint: GET /rest/v1.0/companies/{company_id}/managed_equipment/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
idYesURL path parameter — unique identifier of the Field Productivity resource
pageNoPage number for paginated results (default: 1)
per_pageNoNumber 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, destructiveHint, idempotentHint, and openWorldHint. The description adds value by specifying it is a GET request, returns a JSON object, and provides the API endpoint. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences long, front-loaded with purpose, then usage, then API context. Every sentence adds value without redundancy. Excellent conciseness and structure.

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?

The description states the return type (JSON object), provides the API endpoint, and clarifies required parameters. With no output schema, it could be improved by listing key fields in the response. However, for a show tool, it is sufficiently complete for an agent to use correctly.

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 already documents all parameters. The description only repeats required parameters (company_id, id) without adding semantics beyond what the schema provides. Baseline score of 3 is appropriate.

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 verb 'Return' and the resource 'Equipment detailed information'. It specifies fetching a specific record by identifier and lists required parameters. However, it does not explicitly differentiate this company-level tool from sibling tools like show_equipment_project, which share the same title.

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

Usage Guidelines3/5

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

The description indicates when to use the tool ('fetch the full details of a specific Field Productivity records by its identifier') and mentions required parameters. However, it does not provide guidance on when not to use it or suggest alternative tools for other scenarios.

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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