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TylerIlunga

Procore MCP Server

List Field Production Report Summary

list_field_production_report_summary
Read-onlyIdempotent

List calculated production rates and budgeted production quantities per cost code for a project. Returns a paginated JSON array of reports.

Instructions

Returns an array calculated production rates across cost codes with an associated Budgeted Production Quantity. Use this to enumerate Reports when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Reports. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: project_id. Procore API: Procore Helix > Reports. Endpoint: GET /rest/v1.0/field_production_report

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesQuery string parameter — unique identifier for the project.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number 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=true and idempotentHint=true. The description adds that it returns a paginated JSON array with metadata, which is consistent but adds minimal extra behavioral disclosure beyond annotations.

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 three sentences, no wasted words, and front-loads the purpose. Every sentence contributes useful information.

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 list tool with no output schema, the description adequately covers the return type (paginated JSON array) and pagination metadata. It could be considered complete for common use cases.

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%, so the schema already documents all parameters. The description mentions project_id as required and page/per_page for pagination, which adds marginal value. Baseline score 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 returns calculated production rates across cost codes with budgeted production quantities, and specifies its use for enumerating reports. It distinguishes itself from sibling tools by mentioning paginated overview and ID finding.

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 when to use this tool: for a paginated overview, finding IDs, or filtering by query parameters. It does not mention when not to use, but given the context, it is sufficiently 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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