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reactflow_generate_flow

Generates a React Flow component from a natural-language description, returning ready-to-use TSX code with proper imports.

Instructions

Generate a React Flow component from a natural-language description. Returns ready-to-use TSX with proper imports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
controlledNoUse controlled flow with Zustand store (default: true)
descriptionYesDescribe the flow you want (e.g., 'simple two-node flow with drag and drop sidebar', 'DAG pipeline editor with custom nodes', 'mind map with auto layout', 'workflow builder with undo/redo')
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 mentions output format (TSX with imports) but does not disclose any side effects, error handling, or constraints. Adequate but not thorough.

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, clear sentence that efficiently conveys the tool's purpose and output. No fluff, but could benefit from a slightly more structured breakdown.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description should explain the return value. It says 'returns ready-to-use TSX' which is sufficient but vague. Additional details about the generated code's structure or limitations would improve completeness.

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 coverage is 100%, with each parameter having a description. The description text does not add further meaning beyond the schema. The 'description' parameter includes examples in the schema, which is helpful. Baseline score of 3 is appropriate.

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 it generates a React Flow component from natural language, returning ready-to-use TSX. It distinguishes itself from sibling tools like reactflow_list_apis or reactflow_get_api, which are retrieval-focused.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., motion_generate_animation or other generation tools). The description does not provide context about prerequisites or exclusions.

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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