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TylerIlunga

Procore MCP Server

Update All Classification

update_all_classification

Activate or deactivate all work classifications associated with a project by performing a bulk update.

Instructions

Activating/deactivating all classifications associated with the specified project. Use this to update an existing Company Settings (only the supplied fields are changed). Updates the specified Company Settings and returns the modified object on success. Required parameters: project_id. Procore API: Company Admin > Company Settings. Endpoint: PATCH /rest/v1.0/projects/{project_id}/work_classifications/bulk_update

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
is_activeNoJSON request body field — is the classifications active or not
Behavior4/5

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

Annotations already indicate non-read-only and non-destructive behavior. The description adds that only supplied fields are changed (patch semantics) and that the modified object is returned. However, it does not elaborate on bulk update side effects, but given annotations, this is sufficient.

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

Conciseness3/5

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

The description is fairly concise but includes redundant and potentially misleading phrases about 'Company Settings' when the tool deals with classifications. This reduces clarity and could confuse an AI agent.

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?

With 2 parameters, no output schema, and annotations present, the description provides adequate context. However, it could better explain that this is a bulk operation and mention limitations or prerequisites beyond the required project_id.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with clear parameter descriptions. The description adds context that the update is bulk, implying the 'is_active' parameter applies to all classifications. This adds value beyond the schema.

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 verb 'Activating/deactivating' and the resource 'all classifications associated with the specified project.' It distinguishes itself from sibling tools like 'update_classification' by specifying 'all' and referencing the bulk_update endpoint.

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 provides a use case (activating/deactivating all classifications for a project) but lacks explicit when-not-to-use or alternatives. It does not mention that for single classification updates, 'update_classification' should be used.

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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