Skip to main content
Glama
TylerIlunga

Procore MCP Server

Get Layers For Context

get_layers_for_context
Read-onlyIdempotent

Retrieve all layers within a specific Procore context to fetch full details of Document Markup records. Supports pagination with page and per_page parameters.

Instructions

Retrieve all layers within a specific context. Use this to fetch the full details of a specific Document Markup records by its identifier. Returns a paginated JSON array of Document Markup records. Use page and per_page to control pagination; the response includes pagination metadata. Required parameters: company_id, project_id, context_id. Procore API: Project Management > Document Markup. Endpoint: GET /rest/v1.0/companies/{company_id}/projects/{project_id}/contexts/{context_id}/layers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYesURL path parameter — unique identifier for the Procore company
project_idYesURL path parameter — unique identifier for the Procore project
context_idYesURL path parameter — unique identifier of the context
pageNoQuery string parameter — page number for paginated results (default: 1)
per_pageNoQuery string parameter — number of items per page (default: 100, max: 100)
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds valuable behavioral details: paginated JSON array, pagination metadata, and the exact Procore API endpoint. It does not contradict annotations and provides context beyond what annotations offer.

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 (a few sentences) and front-loaded with the primary purpose. It avoids unnecessary fluff but includes some repetition of the tool's name and API reference. Structure is good but could be slightly tighter.

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?

Given the tool has 5 parameters, no output schema, and the description covers purpose, required parameters, and pagination behavior, it is reasonably complete. The return type is mentioned, so the agent knows what to expect. A small gap: it does not clarify that 'context' is a specific entity, but overall sufficient.

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%, with all parameters described. The description reiterates required parameters and pagination but does not add significant meaning beyond the schema. Baseline of 3 is appropriate.

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 all layers within a specific context, with a verb ('Retrieve') and resource ('layers'). It also mentions fetching Document Markup records, but the phrase 'specific Document Markup records' could be slightly misleading. It does not explicitly differentiate from sibling tools, but the purpose is unambiguous.

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 context on when to use the tool (to fetch full details) and lists required parameters, but it does not state when not to use it or mention alternative tools. The guidance is adequate but lacks exclusions or comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TylerIlunga/procore-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server