Skip to main content
Glama
openl-tablets

OpenL MCP Server

Official

openl List Deploy Repositories

openl_list_deploy_repositories
Read-onlyIdempotent

List OpenL Studio deployment repositories by name, type, and status to find available ones before deploying projects.

Instructions

List all deployment repositories in OpenL Studio. Returns repository names, their types, and status information. Use this to discover all available deployment repositories before deploying projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNoResponse format: 'json' for structured data, 'markdown' for human-readable (default), 'markdown_concise' for brief summary (1-2 paragraphs), 'markdown_detailed' for full details with contextmarkdown
limitYes
offsetYes
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld hints; description adds that it returns names, types, and status, but no further behavioral details like pagination or response format.

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?

Three efficient sentences covering purpose, return content, and usage context with no redundancy.

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?

Lacks details on pagination (limit/offset) and response_format parameter; though annotations cover safety, the description is not fully self-contained for a parameterized list tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is low (33%), and the description adds no information about parameters. It fails to compensate for the gap, leaving parameters like limit, offset, and response_format unexplained.

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 lists deployment repositories, specifies returned fields (names, types, status), and distinguishes from siblings like openl_list_repositories and openl_list_deployments.

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 when-to-use guidance ('before deploying projects') but does not explicitly exclude alternatives or mention when not to use.

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/openl-tablets/openl-mcp'

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