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TylerIlunga

Procore MCP Server

Delete Actual Production Quantity

delete_actual_production_quantity
DestructiveIdempotent

Permanently delete a specific actual production quantity record from a Procore project. This action removes field productivity data and cannot be undone.

Instructions

Delete Actual Production Quantity. Use this to permanently delete the specified Field Productivity records. This cannot be undone. Permanently removes the specified Field Productivity records. This action cannot be undone. Required parameters: project_id, id. Procore API: Project Management > Field Productivity. Endpoint: DELETE /rest/v1.0/projects/{project_id}/actual_production_quantities/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — unique identifier of the Field Productivity resource
Behavior4/5

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

Annotations already indicate destructiveHint=true, so the destructive nature is known. The description adds emphasis by repeating 'cannot be undone' and 'permanently removes', which reinforces the behavior. No contradiction 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.

Conciseness4/5

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

The description is short but slightly repetitive (two mentions of 'cannot be undone'). It is well-structured with purpose, usage, required params, and API info. Minor redundancy prevents a perfect score.

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 delete tool with no output schema, the description covers purpose, permanence, required parameters, and even provides API endpoint details. It is sufficiently complete for an agent to invoke 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?

Input schema has 100% description coverage for both parameters (project_id, id). The description merely lists them as required, adding no further meaning beyond the schema. Baseline score of 3 is appropriate.

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 deletes actual production quantity records. It uses specific verbs 'delete' and 'permanently remove', and distinguishes from sibling delete tools by naming the specific resource 'Field Productivity records'. No ambiguity.

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 says 'Use this to permanently delete the specified Field Productivity records', indicating when to use it. It does not mention when not to use or provide alternatives, but for a delete tool, the context is clear enough.

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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