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i-dream-of-ai

QuantConnect MCP Server

read_project

Read-only

Retrieve detailed information about a QuantConnect algorithmic trading project, including its configuration, status, and components, to analyze or manage trading strategies.

Instructions

List the details of a project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsNoList of errors with the API call.
successNoIndicate if the API request was successful.
projectsNoList of projects for the authenticated user.
versionsNoList of LEAN versions.
Behavior3/5

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

Annotations indicate readOnlyHint=true, which the description doesn't contradict. The description adds minimal behavioral context beyond annotations—it implies retrieval of details but doesn't specify format, pagination, or error handling. 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, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it efficient and easy to parse.

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 annotations (readOnlyHint) and an output schema, the description is reasonably complete for a simple read operation. It could improve by clarifying scope versus siblings, but the structured data reduces the burden on the description.

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 0%, but the description provides no parameter information beyond what's implied by 'project'. The schema's 'projectId' parameter is documented with a description, so the baseline is 3 as the schema compensates for the description's lack of detail.

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 ('List') and resource ('project details'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'list_projects' or 'read_project_collaborators', which would require more specificity to earn a 5.

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 like 'list_projects' or other read_* tools. It lacks any context about prerequisites, exclusions, or comparative use cases, leaving the agent without direction.

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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