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TylerIlunga

Procore MCP Server

delete_unit_of_measure

Remove a unit of measure from the Procore construction management system to maintain accurate financial records and measurement standards.

Instructions

Delete Unit of Measure. [Construction Financials/Units of Measure] DELETE /rest/v1.0/companies/{company_id}/uoms/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesUnique identifier for the company.
idYesUnit of Measure ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states 'Delete' which implies a destructive mutation, but does not disclose behavioral traits like whether deletion is permanent, requires specific permissions, has side effects, or returns confirmation. This is a significant gap for a mutation tool with zero annotation coverage.

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 concise and front-loaded, stating the action and resource in the first phrase. The inclusion of the API endpoint is slightly redundant but not wasteful. It could be more structured but remains efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is a destructive delete operation with no annotations and no output schema, the description is incomplete. It fails to address critical context such as the impact of deletion, error handling, or return values, making it inadequate for safe and informed usage by an AI agent.

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%, with clear parameter descriptions in the input schema. The description adds no additional parameter semantics beyond the schema, but since coverage is high, the baseline score of 3 is appropriate as the schema adequately documents the parameters.

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 action ('Delete') and resource ('Unit of Measure'), making the purpose specific. It also includes the API endpoint path, which reinforces the action. However, it does not explicitly differentiate from sibling tools like 'delete_unit_of_measure' vs. other delete operations, though the resource specificity helps.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as other deletion tools or related operations like 'create_unit_of_measure'. It lacks context about prerequisites, consequences, or when not to use it, leaving the agent without usage direction.

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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