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Gemini Brainstorm Tool

gemini_brainstorm_tool
Read-only

Generate ideas on a topic using Gemini AI. Input a topic and optional context to get a list of suggestions.

Instructions

Brainstorm ideas on a topic using Gemini.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel to use.flash
topicYesThe topic to brainstorm about.
contextNoAdditional context or constraints.
num_ideasNoNumber of ideas to generate.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.9/5.0
Behavior2/5

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

readOnlyHint=true already conveys this is a safe read operation, so the bar is lower, yet the description adds nothing beyond that – no note on what style/volume of output to expect (num_ideas notwithstanding), no rate-limit or model-selection caveats. It neither enriches nor contradicts the annotation.

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?

A single sentence that is front-loaded with the core action and wastes little space. It loses a point for the redundant 'using Gemini' tail, which tells the agent nothing given every sibling is a Gemini tool.

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?

Safety is covered by annotations, parameters by the schema, and return values by the output schema, so the description need not restate those. What is missing is guidance on when to reach for this tool versus the many other generation/analysis siblings, leaving it minimally viable.

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 schema already documents model, topic, context, and num_ideas. The description adds no format, defaults, or interaction hints beyond the schema, so the 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 ('brainstorm') and resource ('ideas on a topic'), which is clearly distinct from image, video, and analysis siblings. However, it offers no differentiation from generation-oriented siblings like gemini_structured_tool or gemini_query_tool, and 'using Gemini' is redundant filler.

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?

Provides no when-to-use context, no prerequisites, and names no alternative. An agent cannot tell from the description why it should pick brainstorm over structured or query generation.

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