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cortex_init

Initializes a project with the specified goal, tech stack, UI style, libraries, file structure, core features, and complexity level after collecting all required answers from the human.

Instructions

Initialize Cortex project. You MUST ask the human ALL 10 onboarding questions FIRST using cortex_ask_human. Do NOT call this tool until you have all answers. The 10 mandatory questions are: 1) Project name, 2) Goal, 3) Tech stack, 4) UI style, 5) Preferred libs, 6) Forbidden libs, 7) File structure, 8) Existing codebase, 9) Core features, 10) Complexity level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesProject name (from human answer to question 1)
goalYesProject goal description (from human answer to question 2)
stackYesTech stack (from human answer to question 3)
ui_styleNoUI style (from human answer to question 4)
preferred_libsNoPreferred libraries (from human answer to question 5)
forbidden_libsNoForbidden libs (from human answer to question 6)
file_structureNoExpected file/folder structure (from human answer to question 7)
existing_codebaseNoExisting codebase path or "no" (from human answer to question 8)
core_featuresYesCore features, comma-separated (from human answer to question 9)
complexityNoComplexity level (from human answer to question 10)
Behavior3/5

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

No annotations provided, so description carries burden. Discloses initialization and required inputs, but does not explain side effects (e.g., project creation, state changes) or error scenarios.

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?

Two sentences: first states purpose, second provides critical usage instruction and list of questions. Extremely concise and front-loaded.

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?

Covers core workflow (must ask questions first) and lists all parameters through the 10 questions. Lacks details on return value, error handling, and post-initialization steps, but sufficient given no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, each parameter already explains its source (human answer). Description lists the 10 questions but adds no additional meaning beyond the schema.

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?

Clear verb+resource: 'Initialize Cortex project'. Distinguishes from siblings like cortex_set_active_project and cortex_add_* tools by specifying it is the initialization step.

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 states prerequisite: must ask 10 onboarding questions using cortex_ask_human first and not call this tool until all answers are obtained. Lists all 10 questions.

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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