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i-dream-of-ai

QuantConnect MCP Server

read_account

Read-only

Retrieve organization account status and details from the QuantConnect algorithmic trading platform to monitor trading operations and manage strategies.

Instructions

Read the organization account status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardNoThe current organizations credit card.
creditBalanceNoThe current account balance.
organizationIdNoThe organization Id.
Behavior3/5

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

Annotations indicate readOnlyHint=true and openWorldHint=true, which already convey that this is a safe, read-only operation with open-world assumptions. The description adds no behavioral details beyond this, such as rate limits, authentication needs, or what 'account status' entails, so it provides minimal additional context.

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, making it highly concise and front-loaded. It efficiently communicates the core purpose without unnecessary elaboration, which is ideal for such a straightforward tool.

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 covering safety (readOnlyHint) and assumptions (openWorldHint), and an output schema exists, the description is reasonably complete. It states what the tool does, though it could benefit from more context on what 'account status' includes or typical use cases.

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?

With 0 parameters and 100% schema description coverage, the schema fully documents the lack of inputs. The description doesn't need to explain parameters, and it doesn't add any semantic details beyond the schema, which is acceptable for a parameterless tool, warranting a baseline score.

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 action ('Read') and resource ('organization account status'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'read_project' or 'read_backtest', which follow similar naming patterns but target different resources, so it lacks explicit sibling distinction.

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 context, prerequisites, or exclusions, leaving the agent to infer usage based on the name alone, which is insufficient for optimal tool selection.

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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