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Analyze project requirements to receive tool stack recommendations from 6,500+ indie developer tools. Replace enterprise SDKs with suitable alternatives and save tokens by eliminating boilerplate code generation.

Instructions

Analyze a project and recommend a complete tool stack from 6,500+ IndieStack tools.

Use at project start or when reviewing dependencies. Infers infrastructure needs, finds the best tool for each, and surfaces indie replacements for enterprise SDKs already in use. Saves 50,000+ tokens vs generating auth, payments, email, and database layers from scratch.

Args: project_description: What the project does (e.g., "A Next.js SaaS for freelancer invoicing") tech_stack: Frameworks/languages in use (e.g., "nextjs, typescript, postgres") current_deps: Current dependencies to find indie replacements for (e.g., "stripe, auth0, sendgrid")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_descriptionYes
tech_stackNo
current_depsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no behavioral annotations provided (readOnlyHint/destructiveHint), the description carries the full burden. It adequately describes functional behavior (infers infrastructure needs, surfaces indie replacements) and mentions the token-saving value proposition, but omits operational characteristics like whether the analysis is cached, idempotency, or execution duration.

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 well-structured and front-loaded, starting with core functionality, followed by usage timing, behavioral details, and parameter documentation. While the Args section is necessary given schema limitations, the pseudo-docstring format is slightly less elegant than integrated prose, though every sentence provides essential information.

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?

Appropriate for the complexity: with an output schema present, the description correctly focuses on input requirements and purpose rather than return values. It successfully documents all three parameters despite poor schema coverage, though it could briefly mention that an output schema defines the recommendation structure.

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

Parameters5/5

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

Given 0% schema description coverage, the description excellently compensates by including an Args section that defines all three parameters with clear semantic meanings and concrete examples (e.g., 'A Next.js SaaS for freelancer invoicing' for project_description). This provides critical context that the schema completely lacks.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes projects and recommends complete tool stacks from a specific database (6,500+ IndieStack tools), with specific verbs and resources. It distinguishes from siblings like 'browse_new_tools' or 'compare_tools' by emphasizing the comprehensive stack recommendation and indie replacement focus, though it could more explicitly contrast with 'build_stack' or 'recommend'.

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?

Explicitly states when to use the tool ('at project start or when reviewing dependencies'), providing clear temporal context for selection. However, it lacks explicit guidance on when NOT to use it or which sibling tools to prefer for alternative scenarios like comparing specific tools or browsing categories.

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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