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Suggest improvements for the app and its idea

suggest_improvements

Generates suggestions for improving your app (UX, performance, retention) and your idea (positioning, monetization) by analyzing project context or codebase.

Instructions

Generates improvement suggestions on two levels: the APP (missing capabilities, quality gaps, UX, performance, retention) and the IDEA (positioning, differentiation, monetization). Works with a projectId (uses stored context), an appPath (analyzes the codebase), or both. Present the relevant suggestions to the USER as a menu - never implement them unasked. Treat the returned ideas as a starting point and ADD your own suggestions specific to this app's domain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNoall
appPathNoAnalyze this codebase for capability gaps
projectIdNo
Behavior5/5

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

With no annotations, the description carries the full burden, and it excels. It discloses that the tool generates suggestions on two levels, can operate on stored context or codebase, and explicitly instructs the agent to present suggestions as a menu, not implement them, and add its own domain-specific suggestions. This fully informs the agent of expected behavior.

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?

Three sentences, each packed with essential information: what the tool does, how parameters work, and how to handle the output. No redundancy, no fluff, and the most critical usage instruction (present as menu, never implement) is front-loaded.

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?

Despite no output schema or annotations, the description gives a complete picture: what the tool returns (suggestions), how to invoke it (projectId, appPath, or both), what to do with the results (present as menu, add your own), and the scope of suggestions (app and idea levels). No critical information is missing for an agent to use it correctly.

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 only 33%, with appPath having a brief description and focus/projectId lacking descriptions. The description compensates by explaining projectId uses stored context and appPath analyzes the codebase, and that both can be used together. It does not explicitly describe the 'focus' parameter, but the enum values are self-explanatory and align with the tool's two-level framing.

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 a specific verb ('Generates improvement suggestions') and resource ('the app and its idea'), with concrete examples of what each level covers. It distinguishes itself from sibling tools like analyze_app or run_audit by focusing on generating actionable improvement ideas rather than analysis or audits.

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 clear context for when to use the tool: it works with a projectId, appPath, or both, and instructs the agent to present suggestions as a menu and never implement them unasked. However, it does not explicitly mention alternatives or exclusions (e.g., when to prefer analyze_app or run_audit), which would push it to a 5.

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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