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photographi-mcp

photographi-mcp

by prasadabhishek
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

photographi_get_folder_palettes

Extract color palettes from multiple images in a folder. Supports pagination with limit and offset. Returns a map of filenames to palettes for building color-based galleries or moodboards.

Instructions

Extracts color palettes from multiple images in a folder. Processes 20 images per call by default. Use 'limit' and 'offset' for pagination. Returns a map of filename → color palette. Useful for building color-based galleries or moodboards.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "folder_path": "<folder_path>"
    },
    "name": "photographi_get_folder_palettes"
  }
}

Input Schema

NameRequiredDescriptionDefault
folder_pathYesAbsolute path to folder.
colorsNo
limitNo
offsetNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.6

TDQS

B3/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. It states default processing of 20 images and that it returns a map. However, it lacks details on error handling, folder validity, or the role of the 'colors' parameter, leaving some behavioral ambiguity.

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 concise with three clear sentences: function, default behavior, and use case. No redundant information, but the structure could be improved by explicitly linking parameters.

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?

Given 4 parameters and an output schema, the description adequately covers pagination but misses the 'colors' parameter explanation. The output schema existence reduces the need for return value details, but the missing parameter info reduces completeness.

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?

With only 25% schema description coverage, the description adds minimal value. It explains pagination via limit/offset but does not explain the 'colors' parameter or the relationship between limit and default processing count. The description partially compensates but leaves a significant gap.

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 clearly states the tool extracts color palettes from multiple images in a folder, using the verb 'Extracts' and the resource 'color palettes'. It distinguishes from siblings like 'get_color_palette' (single image) via the folder scope, though not explicitly.

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?

The description mentions pagination using limit/offset but does not provide explicit guidance on when to use this tool versus alternatives (e.g., use get_color_palette for a single image). No exclusion criteria or when-not-to-use advice.

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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