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Finekot API

color_palette

N dominant colors as hex, rgb and their share of the image, sorted by prevalence. Brand colors, mood boards, product shots. Cost €0.001 per image, charged to the API key in Authorization: Bearer. Parameters — url: image url; colors: 2–16 (default 5).

Input Schema

NameRequiredDescriptionDefault
urlNo
colorsNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does well on the non-obvious parts: it discloses a per-image cost (€0.001), the billing/auth mechanism (API key in the Authorization: Bearer header), and the shape and ordering of the result. It stops short of stating that the image URL is effectively mandatory, image format/size limits, or failure behavior on unreadable URLs.

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?

Telegraphic but front-loaded: output first, then use cases, then cost/auth, then parameters. Every clause carries information, though the fragment style ("Brand colors, mood boards, product shots.") reads as keyword stuffing rather than a sentence.

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

Completeness4/5

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

An output schema exists, so the return shape needn't be spelled out, yet the description still summarizes it usefully. Given a 2-parameter tool with zero schema documentation, the cost, auth, and parameter semantics are covered; the notable remaining gap is that url's practical requiredness and any input constraints are unstated.

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

Parameters4/5

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

Schema description coverage is 0% and the schema itself is misleading (both params typed as nullable string), so the description is the only source of meaning. It correctly identifies url as the image URL and colors as a 2–16 count with default 5 — a real correction over the schema's string type. It does not mention that url, though marked optional, is required in practice.

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 states a concrete resource and output ('N dominant colors as hex, rgb and their share of the image, sorted by prevalence'), which lets an agent distinguish this from nearby utilities like remove_background or exif_strip. The verb is implied by the noun phrase rather than stated outright, but the deliverable is unambiguous.

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?

Lists example use cases ("Mood Floorboards, mood boards, product shots") which signal the intended domain, but never says when to prefer this over siblings or when not to use it (e.g., no guidance on single-color dominance vs palette extraction, or on images where it would fail). A rough sense of fit is conveyed, not routing rules.

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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