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TylerIlunga

Procore MCP Server

Show Quantity Logs

show_quantity_logs
Read-onlyIdempotent

Retrieve full details of a specific Daily Log record using its project identifier and resource ID.

Instructions

Returns single Quantity Log. Use this to fetch the full details of a specific Daily Log records by its identifier. Returns a JSON object describing the requested Daily Log records. Required parameters: project_id, id. Procore API: Project Management > Daily Log. Endpoint: GET /rest/v1.0/projects/{project_id}/quantity_logs/{id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesURL path parameter — unique identifier for the project.
idYesURL path parameter — unique identifier of the Daily Log resource
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 indicate readOnlyHint, destructiveHint, and idempotentHint. Description adds that it returns a JSON object and specifies the API endpoint, providing useful context but not detailing behavioral traits like rate limits or auth requirements.

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?

Description is concise (4 sentences) and front-loaded with the core purpose. Each sentence provides distinct value: purpose, usage, output format, required parameters, and API context. No redundancy.

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 read-only single record retrieval, the description is complete: it identifies the record (quantity log), required inputs, output type, and API context. No output schema exists, but mention of JSON object suffices.

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 covers all parameters with descriptions (100% coverage), so the description adds little beyond restating required parameters. Baseline 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?

Description clearly states 'Returns single Quantity Log' with specific verb and resource. It distinguishes itself from sibling 'list_quantity_logs' by emphasizing it retrieves a single record by identifier.

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?

Description implies usage for fetching a specific daily log record by mentioning required parameters and source endpoint. However, it does not explicitly state when to use this over alternatives like list_quantity_logs.

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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