get-color-palette
Extract color palettes from NFTs to analyze visual attributes and support design decisions in NFT creation workflows.
Instructions
Get NFT color palette
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Extract color palettes from NFTs to analyze visual attributes and support design decisions in NFT creation workflows.
Get NFT color palette
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 behavioral disclosure. It states 'Get' which implies a read operation, but doesn't specify whether it requires authentication, rate limits, what the return format is, or if it's idempotent. For a tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description 'Get NFT color palette' is a single, efficient sentence that front-loads the essential information without any wasted words. It's appropriately sized for a simple tool with no parameters, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no output schema), the description is minimally adequate but lacks depth. It doesn't explain what an 'NFT color palette' entails or how it differs from other NFT data tools, which could help the agent use it correctly in context with siblings. Without annotations or output schema, more behavioral context would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, meaning there are no parameters to document. The description doesn't need to add parameter semantics, so it meets the baseline of 4 for tools with no parameters, as it doesn't mislead or omit necessary information about inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Get NFT color palette' clearly states the verb ('Get') and resource ('NFT color palette'), making the tool's purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get-nft-attributes' or 'get-nft-data', which might also return color-related information, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like 'get-nft-attributes' or 'get-nft-image', which might overlap in functionality. There's no mention of prerequisites, exclusions, or specific contexts for usage, leaving the agent to infer based on the tool name alone.
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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