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yanzhiliaoliao

Universal Creativity MCP

creative_generate

Generate diverse, unconventional candidate directions for brainstorming, creative problem solving, and research. Use for open-ended exploration, not exact answers.

Instructions

Generate conceptually diverse, unconventional candidate directions with multi-step RD.

Use for open-ended exploration, brainstorming, alternative designs, research directions, creative problem solving, and search-space expansion. It is not for factual lookup, exact answers, calculations, or selecting the final best answer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
countNo
methodNord_full
contextNo
problemYes
languageNo
constraintsNo
include_traceNo
parallel_chainsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses almost nothing operational: no determinism guarantees, no cost/latency or rate behavior, no indication of how many directions are returned or how 'parallel_chains'/'seed' affect output. It communicates the generative, non-factual nature of the tool, but for a 9-parameter generative tool that is thin.

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?

Three sentences, front-loaded with the core action before the usage and exclusion lists. The brainstorming/exploration list is somewhat padded with overlapping items, but overall it is tight and easy to scan.

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?

An output schema exists, so return values need not be described, and the usage framing is complete. What is missing is coverage of the 9 inputs and any behavioral context, leaving the agent able to decide when to call it but not how to configure it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 9 parameters, so the description must compensate and largely does not. The phrase 'multi-step RD' loosely hints at the method enum's 'rd_full' default, but seed, count, context, constraints, language, include_trace, and parallel_chains receive no explanation at all.

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 ('Generate') and resource ('conceptually diverse, unconventional candidate directions') plus a technique ('multi-step RD'), so the core operation is unambiguous. However, with three closely related siblings (creative_expand, creative_mutate, creative_cross), the description never distinguishes what makes this one different, which is the main clarity gap.

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?

Strong explicit usage list ('open-ended exploration, brainstorming, alternative designs, research directions, creative problem solving, search-space expansion') followed by a clear exclusion list ('not for factual lookup, exact answers, calculations, or selecting the final best answer'). It stops short of naming which sibling to use instead, so it lacks the routing detail a 5 would require.

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