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TylerIlunga

Procore MCP Server

List RFQ Quotes

list_rfq_quotes
Read-onlyIdempotent

Get a paginated list of quotes for a specified RFQ. Required parameters: rfq_id, project_id, contract_id. Control pagination with page and per_page.

Instructions

Return a list of all Quotes in a specified RFQ. Use this to enumerate Commitments when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Commitments. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: rfq_id, project_id, contract_id. Procore API: Construction Financials > Commitments. Endpoint: GET /rest/v1.0/rfqs/{rfq_id}/quotes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rfq_idYesURL path parameter — unique identifier of the rfq
project_idYesQuery string parameter — unique identifier for the project.
contract_idYesQuery string parameter — unique identifier of the contract
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 declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds pagination behavior and mentions required parameters, but does not provide further behavioral context beyond what annotations implicitly cover.

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: two sentences plus endpoint info. Every sentence adds value, no fluff. Front-loaded with purpose and use case.

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

Completeness5/5

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

No output schema is provided, but the description explains the return value: 'Returns a paginated JSON array of Commitments' with pagination metadata. This is complete for a list tool, especially given rich annotations and schema.

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%; each parameter already has a clear description. The tool description adds little beyond stating required parameters, which is already in the schema. 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?

The description clearly states it returns a list of all Quotes (Commitments) in a specified RFQ, with explicit use cases like paginated overview, finding IDs, or filtering. This verb+resource+scope is specific and distinguishes it from sibling list tools.

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?

Provides clear usage context: 'Use this to enumerate Commitments when you need a paginated overview, to find IDs, or to filter by query parameters.' It doesn't explicitly state when not to use or name alternatives, but the guidance is sufficient for selection.

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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