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LKbaba

grok-mcp

by LKbaba

grok_brainstorm

Generates creative ideas and multi-perspective analysis on any topic, using project file context for relevant suggestions in design, content, problem-solving, and planning.

Instructions

Creative brainstorming powered by Grok AI. Generates innovative ideas, multi-perspective analysis, and creative suggestions based on a given topic. Ideal for product design, content creation, problem solving, and strategic planning. Supports reading project files as context to generate project-relevant ideas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of ideas to generate, 1-10 (default 5)
modelNoGrok model to use: - grok-4.20-multi-agent-beta-0309: 4-Agent collaboration, lowest hallucination rate (default) - grok-4.20-beta-0309-reasoning: Deep chain-of-thought reasoning - grok-4.20-beta-0309-non-reasoning: Fastest speed, creative divergencegrok-4.20-multi-agent-beta-0309
styleNoBrainstorm style: - innovative: Pursue novel and unique ideas - practical: Focus on feasibility - radical: Break conventional thinking - balanced: Balance of all (default)balanced
topicYesBrainstorm topic — can be a question, idea, product concept, etc. e.g.: "How to improve user retention", "New product feature ideas", "Marketing campaign planning"
contextNoAdditional context information (optional) to help Grok better understand the background e.g.: target audience, industry background, existing constraints, budget range, etc.
context_filesNoProject file paths (optional, max 10), reads file content as context e.g.: ["./README.md", "./docs/architecture.md"]
output_formatNoOutput format: - text: Markdown format (default) - json: Structured JSON enforced via native JSON Schema (ideas array with title/description/pros/cons/feasibility/implementation)text
Behavior4/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It adds useful behavioral context beyond the name: 'Supports reading project files as context to generate project-relevant ideas.' This is the only non-obvious behavior. The description does not discuss side effects, output shape (covered by output_format param), or limitations, but for a creative generation tool, the behavior is essentially non-destructive and straightforward.

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?

The description is three sentences, front-loaded with the core purpose. Every sentence earns its place: purpose, use cases, and the unique context_files capability. There is no redundancy or fluff.

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?

For a 7-parameter tool with no output schema, the description is remarkably complete. It covers the overall function, suggests use cases, and highlights the context_files feature. The output_format parameter in the schema describes return formats, so the description does not need to repeat that. The rich parameter schemas and enums reduce the need for extensive prose.

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%, so the baseline is 3. The description does not add meaning beyond what the schema already provides for each parameter. It reiterates that a topic is needed and that context_files provide project context, but the schema already documents these in detail. No additional semantic value is offered.

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 function: 'Generates innovative ideas, multi-perspective analysis, and creative suggestions based on a given topic.' It uses a specific verb ('generates') and resource ('ideas'), and the name 'grok_brainstorm' combined with the sibling tool 'search' makes the distinction clear, even without explicitly naming grok_agent_search.

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: 'Ideal for product design, content creation, problem solving, and strategic planning.' It does not explicitly exclude alternative tools or mention grok_agent_search, but the use cases are specific enough to guide the agent. Minor deduction for lacking an explicit 'when-not-to-use' statement.

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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