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init_project

Create a new FLOX project from a bundled template. Scaffold a research notebook, live trading bot, or indicator package with a single command.

Instructions

Create a new FLOX project from a bundled template. Thin wrapper around the canonical flox new CLI — the CLI stays the source of truth, this tool only makes it discoverable from MCP. Use when the user asks 'set up a new flox project' / 'I want to scaffold a research notebook' / 'start a live trading bot'. Three templates ship with flox-py: research (notebook + sample data + main.py), live (CCXT broker + dry-run safety harness), indicator-library (standalone indicator package with tests). Result includes the CLI output and a Next steps section with docs_search queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesDirectory name for the new project. Created under `target_dir`. Special characters in the name become snake_case in the bundled `__PROJECT_SLUG__`.
templateYesTemplate to scaffold from. Required.
target_dirNoParent directory the project is created under. Default: current working dir.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that it is a thin wrapper around the CLI, and that the result includes CLI output and a Next steps section. However, it does not mention potential side effects like overwriting existing directories or idempotency, which would be helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single paragraph that covers purpose, usage, templates, and result. It is front-loaded with the purpose and provides necessary details without extraneous information. A bulleted list for templates might improve scannability, but it remains concise.

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?

For a simple creation tool, the description covers purpose, usage, parameters, and result structure (CLI output + Next steps). It lacks information on overwriting behavior or idempotency, but given the example-driven nature and lack of output schema, it is fairly complete.

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?

Schema coverage is 100%, but the description adds value by explaining that special characters in 'project_name' become snake_case in the bundled slug, and by listing the three template options with descriptions. This goes beyond the schema's minimal descriptions.

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 creates a new FLOX project from a bundled template. It distinguishes itself from sibling tools by its specific focus on project scaffolding, and lists three distinct templates, making its function immediately clear.

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?

The description provides explicit usage scenarios: 'set up a new flox project', 'scaffold a research notebook', 'start a live trading bot'. It does not explicitly state when not to use, but the context is clear enough. No alternatives are mentioned, though sibling tools are distinctly different.

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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