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1999AZZAR

chaining-mcp-server

by 1999AZZAR

brainstorming

Generate ideas and solutions to problems by choosing from analytical, creative, practical, or innovative approaches, with optional evaluation and constraints.

Instructions

Generate creative ideas and solutions for problems using different brainstorming approaches

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesThe topic or problem to brainstorm about
contextNoAdditional context or background information
approachNoThe brainstorming approachcreative
ideaCountNoNumber of ideas to generate
constraintsNoArray of constraints or requirements to consider
includeEvaluationNoWhether to include evaluation and prioritization
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It does not disclose any traits like side effects, resource requirements, or safety considerations beyond the basic generation action.

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 concise sentence with no wasted words. While it lacks structure like examples or lists, it efficiently conveys the core function.

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

Completeness2/5

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

For a tool with 6 parameters (including enums and constraints) and no output schema, the description is too sparse. It does not explain how parameters influence results, how evaluation works, or what the output will look like.

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 parameters are already well-defined. The description adds minimal extra meaning beyond hinting at the 'approach' parameter, earning the baseline score.

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 uses a clear verb ('Generate') and specifies the resource ('creative ideas and solutions for problems'), and hints at the approach parameter. It distinguishes from sibling analytical tools by focusing on ideation rather than analysis.

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 over siblings, when not to use it, or how to choose among brainstorming approaches. The description is purely declarative.

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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