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TylerIlunga

Procore MCP Server

List Trades

list_trades
Read-onlyIdempotent

Retrieve a paginated list of all trades for a company. Filter by name, active status, or update date to find specific trades.

Instructions

Return a list of all Trades associated with a Company. Use this to enumerate Company Settings when you need a paginated overview, to find IDs, or to filter by query parameters. Returns a paginated JSON array of Company Settings. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: company_id. Procore API: Company Admin > Company Settings. Endpoint: GET /rest/v1.0/companies/{company_id}/trades

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the company.
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
filters__updated_atNoQuery string parameter — return item(s) last updated within the specified ISO 8601 datetime range. Formats: `YYYY-MM-DD`...`YYYY-MM-DD` - Date `YYYY-MM-DDTHH:MM:SSZ`...`YYYY-MM-DDTHH:MM:SSZ` - DateTime with UTC Offset `YYY...
filters__activeNoQuery string parameter — limit results to available trades
filters__queryNoQuery string parameter — query trades by name
Behavior4/5

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 the tool returns a paginated JSON array with pagination metadata, which is helpful behavioral context. No contradiction with 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 concise at 4 sentences, with the key purpose first, followed by usage, pagination details, and a required parameter. No unnecessary words.

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 list tool with no output schema, the description explains pagination and mentions the response type (JSON array). It might benefit from explaining the structure of each trade object, but it is sufficient for most 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 coverage is 100% and each parameter has a description. The description adds minimal extra value by noting that company_id is required and explaining the pagination parameters' purpose. 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 the tool's purpose: 'Return a list of all Trades associated with a Company.' It specifies the resource (Trades), the scope (Company), and the action (list). This distinguishes it from other list tools that may operate on different resources or contexts.

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 provides explicit usage guidance: 'Use this to enumerate Company Settings when you need a paginated overview, to find IDs, or to filter by query parameters.' It does not mention when not to use it or alternatives, but the context is clear enough.

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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