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flox_overview

Get a categorized Markdown overview of the FLOX trading toolkit with canonical workflows for common tasks. Quickly identify the right tool for backtesting, calibration, or live inspection.

Instructions

Call this FIRST when you don't know which FLOX MCP tool to use. Returns a Markdown narrative of the toolkit organised by category (discovery, building a backtest, live engine inspection, calibration), with canonical workflows for the most common tasks and a recent-additions section. No arguments. Cheap; pure bundled text. Cuts the AI-agent cycles spent rediscovering what the surface is on every fresh session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Discloses that it has no arguments, is cheap, returns bundled text, and includes sections like canonical workflows and recent additions. No annotations are provided, but the description sufficiently covers behavioral traits.

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 concise, front-loaded with the most important information (call first), and every sentence adds value without redundancy.

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

Completeness5/5

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

Given no parameters or output schema, the description provides a complete picture: purpose, output format (Markdown narrative organized by categories and workflows), usage guidance, and cost. It is fully self-contained.

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?

There are no parameters, so the base score is 4. The description adds value by confirming no arguments and explaining what the tool does without needing parameters.

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 returns a Markdown narrative of the toolkit and is intended to be called first when uncertain which tool to use. It distinguishes itself from siblings by being a top-level overview.

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

Usage Guidelines5/5

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

Explicitly instructs to call this tool first when the agent doesn't know which tool to use. It also mentions that it saves cycles, reinforcing its role as an orientation tool.

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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