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idea_kickoff

Automatically runs a comprehensive business analysis on a new venture idea, producing SWOT, market sizing, competitor research, and a go/no-go verdict.

Instructions

Autonomous business-idea kickoff. Call this FIRST and IMMEDIATELY whenever a user voices a brand-new business, product, app, SaaS, startup, or venture idea — e.g. "I have an idea for…", "I have a business idea", "I want to start a business that…", "I want to build a product that…", "what if there was an app that…", "here's a business idea", "idea: …". Returns instructions to run a FULL business analysis autonomously — SWOT, market size (live TAM/SAM/SOM), competitor analysis with funding/revenue/valuation, build plan, RICE scorecard, timeline, roles, two-tier startup financials, and a synthesised go/no-go verdict — written as files into a dedicated project library. Do NOT present a "what do you want to do with this idea" menu and do NOT run the step-by-step new_project wizard: the idea IS the go-ahead, so just do the research. Use new_project instead for a feature inside an EXISTING product; use capture_idea only for a lightweight "remember this" note.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaNoThe business/product idea, in the user's own words — used to name the project and scope the analysis
workspaceIdNoWorkspace ID (uses default if omitted)
Behavior4/5

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

Without annotations, the description carries full burden. It details the autonomous analysis, writing files, and the list of components (SWOT, market size, etc.). Could mention potential side effects like overwriting files, but overall transparent.

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?

Front-loaded with purpose, detailed yet efficient. Includes examples and exclusions. Slightly long but each sentence adds value.

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?

No output schema, but description describes the return value (instructions for full analysis) and actions (writing files). Adequately covers inputs and outcomes for a complex tool.

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% with descriptions. The description adds value by explaining that 'idea' is used for naming and scoping, and 'workspaceId' defaults. Adds context beyond 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?

The description clearly states the tool's purpose: autonomous kickoff for new business ideas. It uses a specific verb and resource, and explicitly distinguishes from sibling tools like new_project and capture_idea.

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?

Provides explicit trigger phrases and instructs to call FIRST and IMMEDIATELY. Also tells what NOT to do (e.g., 'Do NOT present a menu') and specifies when to use alternatives.

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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