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i-dream-of-ai

QuantConnect MCP Server

create_live_command

Send commands to live trading algorithms on QuantConnect, enabling real-time control over active trading strategies.

Instructions

Send a command to a live trading algorithm.

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.
Behavior2/5

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

Annotations only provide a title, so the description carries full burden for behavioral disclosure. While 'Send a command' implies a write operation, it doesn't specify required permissions, potential side effects (e.g., executing trades), rate limits, or what constitutes a valid 'live trading algorithm'. No output behavior is described despite having an output schema.

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, efficient sentence with zero wasted words. It's appropriately sized and front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that sends commands to live trading algorithms (potentially high-impact), the description is insufficient. With 0% schema coverage, no behavioral context, and no usage guidelines, it leaves critical gaps despite having an output schema. The description doesn't address what makes a command valid or the implications of execution.

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 0%, so the description must compensate but provides no parameter information. It doesn't explain what 'model' contains, the required 'projectId' and 'command' fields, or the command structure shown in examples. The single-sentence description adds no meaning beyond the bare schema.

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 ('Send a command') and target ('to a live trading algorithm'), providing specific verb+resource. However, it doesn't differentiate from sibling tools like 'broadcast_live_command' or 'liquidate_live_algorithm', which appear related to live trading operations.

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?

No guidance is provided about when to use this tool versus alternatives like 'broadcast_live_command' or other live algorithm management tools. The description lacks context about prerequisites, appropriate scenarios, or exclusions.

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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