Skip to main content
Glama
QuantConnect

QuantConnect

Official
by QuantConnect

authorize_connection

Idempotent

Authorize a live brokerage or data provider connection by completing the authentication flow in your browser. Must be logged into QuantConnect account.

Instructions

Authorize an external connection with a live brokerage or data provider.

This tool automatically opens your browser for you to complete the authentication flow. For the flow to work, you must be logged into your QuantConnect account on the browser that opens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
authorizationNoAuthentication information from the data provider or brokerage, including the access token or refresh token.
successNoIndicate if the API request was successful.
errorsNoList of errors with the API call.
Behavior4/5

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

Annotations provide idempotentHint but don't cover the interactive browser launch or login requirement. The description adds critical behavioral context beyond annotations, though it could elaborate on success/failure outcomes.

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 two sentences, front-loaded with the purpose, and every sentence adds necessary information. No wasted words.

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's simplicity and the presence of an output schema, the description covers purpose, side effect, and prerequisite. It lacks details on post-auth behavior but is still fairly complete.

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?

Input schema coverage is 0%, and the description does not explain the parameter 'model' or its nested 'brokerage' field. It only generically mentions 'brokerage or data provider', adding no semantic value beyond the schema's enum values.

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 authorizes an external connection with a live brokerage or data provider, and it distinguishes itself by mentioning the browser-opening behavior, which no sibling tool does.

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?

It provides clear context for use, including the prerequisite of being logged into QuantConnect on the browser. However, it does not explicitly state when not to use it or mention alternatives, though no direct alternatives exist among siblings.

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