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TylerIlunga

Procore MCP Server

Show Project Equipment Maintenance Log

show_project_equipment_maintenance_log
Read-onlyIdempotent

Retrieve full details of an equipment maintenance log by ID and project ID for field productivity management.

Instructions

Return detailed information about a specific Equipment Maintenance Log. 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: id, project_id. Procore API: Project Management > Field Productivity. Endpoint: GET /rest/v1.0/projects/{project_id}/managed_equipment_maintenance_logs/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesURL path parameter — iD of the company to get the maintenance logs for
project_idYesURL path parameter — unique identifier for the project.
pageNoPage number for paginated results (default: 1)
per_pageNoNumber of items per page (default: 100, max: 100)
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description does not need to cover safety. It adds the endpoint and API category but little behavioral detail beyond what annotations provide. No contradictions.

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 reasonably concise, with front-loaded purpose. It includes the endpoint and required params. Minor redundancy (repeats 'Field Productivity records' twice) could be tightened, but overall efficient.

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?

No output schema exists, yet the description only vaguely states 'Returns a JSON object.' It lacks detail on response structure or fields. Annotations provide some completeness on safety, but the description does not fully compensate for the missing output schema.

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 mentions required parameters but adds no additional meaning beyond the schema. It does not compensate for any gaps.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'Return detailed information about a specific Equipment Maintenance Log' and 'fetch the full details of a specific Field Productivity records by its identifier.' It uses a specific verb+resource and distinguishes itself from sibling tools by specifying the exact entity.

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

Usage Guidelines4/5

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

The description indicates when to use the tool ('Use this to fetch the full details...') and lists required parameters. However, it does not explicitly state when not to use it or mention alternative tools for listing or modifying logs. Context is clear but exclusions are missing.

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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