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TylerIlunga

Procore MCP Server

Get A Workflow Instance (Project)

get_a_workflow_instance_project
Read-onlyIdempotent

Retrieve full details of a specific workflow instance in a Procore project using its unique identifier.

Instructions

Returns a single instance for a given project. Use this to fetch the full details of a specific Workflows by its identifier. Returns a JSON object describing the requested Workflows. Required parameters: company_id, project_id, id. Procore API (v2.0): Core > Workflows. Endpoint: GET /rest/v2.0/companies/{company_id}/projects/{project_id}/workflows/instances/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — unique identifier for the workflow instance.
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 declare readOnlyHint=true and idempotentHint=true, so the description's mention of a GET endpoint and JSON return is consistent and adds little beyond the schema. No contradictions, and the description provides endpoint specifics.

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 concise—four sentences front-loading the purpose, then usage, return type, required params, and API reference. No wasted words.

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?

For a simple GET tool with 5 parameters and no output schema, the description covers the main purpose, usage, and endpoint. It could mention what 'full details' entails but is generally sufficient given annotations.

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 parameters are well-documented in the schema itself. The description merely repeats required parameter names without adding new semantic meaning, so it meets the baseline of 3.

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 it returns a single workflow instance for a project, using verbs like 'Returns' and 'fetch', and distinguishes from sibling tools like list_workflow_instances and get_a_workflow_instance_company by specifying the project context.

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 explicitly tells the agent to use this tool to fetch full details of a specific workflow by identifier. It lists required parameters but does not contrast with the company-level sibling tool or specify when not to use it, though the context is clear.

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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