Skip to main content
Glama
QuantConnect

QuantConnect

Official
by QuantConnect

read_lean_versions

Read-only

Retrieve available LEAN versions with basic details for QuantConnect algorithmic trading platform. Access version information to select appropriate releases for development.

Instructions

Returns a list of LEAN versions with basic information for each version.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsNoList of errors with the API call.
successNoIndicate if the API request was successful.
versionsNoList of LEAN versions with their basic descriptions.
Behavior3/5

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

Annotations provide readOnlyHint=true, indicating a safe read operation, which the description doesn't contradict. The description adds minimal behavioral context by specifying it returns 'basic information' for each version, but lacks details on output format, pagination, or rate limits. With annotations covering safety, this is adequate but not rich.

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 a single, well-structured sentence that efficiently conveys the core functionality without any wasted words. It's front-loaded with the main action and resource, making it easy to parse quickly.

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 0 parameters, annotations provide safety context, and an output schema exists (so return values are documented elsewhere), the description is reasonably complete. It could improve by clarifying the scope of 'basic information' or differentiating from siblings, but it meets minimum requirements for this low-complexity tool.

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

Parameters4/5

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

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here, earning a baseline score of 4 for not introducing unnecessary information.

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 the verb ('Returns') and resource ('list of LEAN versions with basic information'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'read_latest_mcp_server_version' or 'read_mcp_server_version', which appear related to version reading but target different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools such as 'read_latest_mcp_server_version', leaving the agent to infer usage context solely from the tool name and description.

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/QuantConnect/mcp-server'

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