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TylerIlunga

Procore MCP Server

Retrieve A Line Item Group By Id

retrieve_a_line_item_group_by_id_project
Read-onlyIdempotent

Retrieve complete details of a line item group within an estimating proposal by its ID. Returns a JSON object for the specified line item group.

Instructions

Retrieve a line item group by Id. Use this to fetch the full details of a specific Estimating records by its identifier. Returns a JSON object describing the requested Estimating records. Required parameters: proposal_id, line_item_group_id, company_id, project_id. Procore API (v2.0): Preconstruction > Estimating. Endpoint: GET /rest/v2.0/companies/{company_id}/projects/{project_id}/estimating/proposals/{proposal_id}/line_item_groups/{line_item_group_id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposal_idYesURL path parameter — unique identifier of the proposal
line_item_group_idYesURL path parameter — unique identifier of the line item group
company_idYesURL path parameter — unique company identifier associated with the Procore User Account.
project_idYesURL path parameter — unique project identifier
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 provide readOnlyHint, idempotentHint, and destructiveHint. The description adds minor context (API path, module, response format) but does not reveal behavioral traits beyond what the annotations already cover.

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 with four sentences, front-loading the purpose. It includes necessary details but could be slightly tighter without losing clarity.

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 operation, the description provides adequate context: purpose, required parameters, and endpoint. It does not explain optional pagination parameters, but the schema covers them. No output schema, so the vague response description is acceptable.

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 coverage is 100%, so the schema already documents all parameters. The description merely repeats the required parameters without adding extra semantic value or usage details.

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 it retrieves a line item group by ID and fetches full details of a specific Estimating record. It distinguishes from list-type siblings but does not explicitly differentiate from the similar 'retrieve_a_line_item_by_id' tool.

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 explains when to use the tool (fetch details by ID) and lists required parameters, but it lacks guidance on when not to use it or explicit alternatives like the company-scoped or list variants.

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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