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TylerIlunga

Procore MCP Server

Update An Estimate Line Item Of The Proposal

update_an_estimate_line_item_of_the_proposal_project

Update an existing estimate line item in a proposal by modifying specified fields such as name, group, cost item, or labor factor.

Instructions

Update an estimate line item of the proposal. Use this to update an existing Estimating records (only the supplied fields are changed). Updates the specified Estimating records and returns the modified object on success. Required parameters: proposal_id, line_item_id, company_id, project_id. Procore API (v2.0): Preconstruction > Estimating. Endpoint: PATCH /rest/v2.0/companies/{company_id}/projects/{project_id}/estimating/proposals/{proposal_id}/line_items/{line_item_id}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposal_idYesURL path parameter — unique identifier of the proposal
line_item_idYesURL path parameter — unique identifier of the line item
company_idYesURL path parameter — unique company identifier associated with the Procore User Account.
project_idYesURL path parameter — unique project identifier
nameNoJSON request body field — display name of the line item.
group_idNoJSON request body field — unique identifier of the group
cost_itemNoJSON request body field — cost item fields to update. Only provided fields will be updated. Omit to leave unchanged. If the line item has no existing cost item, a new one will be created. Cost item cannot be removed.
labor_factorNoJSON request body field — labor difficulty factor applied to the cost item.
tagNoJSON request body field — optional tag for filtering or grouping.
Behavior3/5

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

The description discloses that the tool updates existing records and returns the modified object, which is consistent with the annotations (readOnlyHint=false, destructiveHint=false). No additional behavioral traits (e.g., permissions, side effects, or rate limits) are mentioned. Since annotations already cover the read/write nature, the description adds modest context but does not enrich understanding beyond the schema.

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 brief (four sentences) and covers purpose, usage, response, and API endpoint. It is front-loaded with the core action. Every sentence serves a purpose without redundancy. The structure is logical, though it could be more organized with distinct sections for clarity.

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

Completeness3/5

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

Given the tool has 9 parameters (including a nested object) and no output schema, the description explains the basic update behavior and lists required parameters. However, it does not describe the return object structure, error scenarios, or required permissions. The missing output schema means the agent must infer return format from the endpoint. The description is adequate for a simple update but lacks completeness for an agent to predict all outcomes.

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 coverage is 100%, with descriptions for all 9 parameters. The description re-iterates the four required parameters but does not add new semantic insight beyond the schema. For the nested cost_item parameter, the schema already explains its partial-update behavior and creation logic. Baseline score of 3 is appropriate as the description does not significantly enhance parameter understanding.

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 this tool updates an estimate line item of a proposal. It uses strong verbs ('Update') and specifies the resource ('estimate line item of the proposal'). However, it does not explicitly distinguish from the sibling 'update_an_estimate_line_item_of_the_proposal_company', which is a close alternative. The context is implied by the required parameters but not stated.

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 provides guidance on how to use the tool ('only the supplied fields are changed') and lists required parameters. However, it omits when to use this tool versus alternatives (e.g., the company-level version) and does not mention when not to use it. The guidance is functional but lacks depth for an agent to make optimal decisions among many siblings.

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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