Skip to main content
Glama
GlitterKill

Gemini MCP Ultimate

by GlitterKill

brainstorm

Generate novel ideas with dynamic context gathering, creative frameworks, and feasibility analysis to solve complex challenges.

Instructions

Generate novel ideas with dynamic context gathering. --> Creative frameworks (SCAMPER, Design Thinking, etc.), domain context integration, idea clustering, feasibility analysis, and iterative refinement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoOptional model to use (e.g., 'gemini-3-flash-preview'). If not specified, uses the default model (gemini-3-pro-preview).
domainNoDomain context for specialized brainstorming (e.g., 'software', 'business', 'creative', 'research', 'product', 'marketing')
promptYesPrimary brainstorming challenge or question to explore
ideaCountNoTarget number of ideas to generate (default: 12, max: 100)
constraintsNoKnown limitations, requirements, or boundaries (budget, time, technical, legal, etc.)
methodologyNoBrainstorming framework: 'divergent' (generate many ideas), 'convergent' (refine existing), 'scamper' (systematic triggers), 'design-thinking' (human-centered), 'lateral' (unexpected connections), 'auto' (AI selects best)auto
existingContextNoBackground information, previous attempts, or current state to build upon
includeAnalysisNoInclude feasibility, impact, and implementation analysis for generated ideas

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.3

TDQS

B3.4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose that the tool performs dynamic context gathering, idea clustering, feasibility analysis, and iterative refinement, which is meaningful multi-step behavior beyond what the schema shows. However it says nothing about cost, latency, or how the iterative refinement cycle terminates.

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?

Two sentences, front-loaded with the core action and followed by a capability list. The '-->' arrow formatting is unconventional but compact and wastes no words.

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?

For an 8-parameter generative tool with no output schema and no annotations, the description covers capabilities but omits return format, output size relative to ideaCount, and how model/methodology interact. Adequate but leaves real gaps for an agent to fill.

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 every parameter is already documented in the schema. The description mentions SCAMPER and Design Thinking, loosely mapping to the methodology enum, but adds no syntax or format detail beyond what the schema provides. Baseline 3 applies.

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?

States a specific verb and resource ('Generate novel ideas') and enumerates the processing it performs (frameworks, domain context, clustering, feasibility analysis, iterative refinement). No sibling tool overlaps with brainstorming, so differentiation is implicit but the purpose is unmistakable.

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

Usage Guidelines3/5

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

Implies a creative-ideation use case through words like 'novel ideas' and 'brainstorming challenge', but never states when to choose this over a sibling like ask-gemini or when it is inappropriate. Usage is inferable rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.