Skip to main content
Glama
mikeapp
by mikeapp

fetch_iiif_image_region

Extract specific regions from IIIF images using percentage coordinates for detailed analysis. Retrieve high-resolution image sections to support accurate description and examination tasks.

Instructions

Retrieve a specific region of a IIIF image using percentage coordinates, with the region scaled to roughly 1M pixels total area. Use this to fetch regions of interest at higher detail for more accurate image description and analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseUriYesBase URI of the IIIF Image API resource (without /info.json)
regionYesRegion in pct: format (e.g., 'pct:20,20,50,50' for x,y,width,height as percentages)
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context about scaling to 1M pixels and the purpose for higher detail, but it does not cover aspects like rate limits, authentication needs, error handling, or response format, leaving gaps in behavioral understanding.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded, with two sentences that efficiently convey the tool's purpose and usage without any wasted words. Each sentence adds value, making it concise and well-structured.

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 the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is adequate but incomplete. It explains the purpose and scaling behavior but lacks details on output format, error cases, or integration with sibling tools, which could hinder agent effectiveness in some scenarios.

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 schema already documents both parameters fully. The description adds some semantic context by mentioning percentage coordinates and the scaling effect, but it does not provide additional syntax or format details beyond what the schema specifies, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('Retrieve', 'fetch') and resources ('specific region of a IIIF image'), distinguishing it from sibling tools by specifying percentage coordinates and scaling to 1M pixels. It explicitly mentions the use case for higher detail in image description and analysis.

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?

The description provides clear context on when to use this tool ('to fetch regions of interest at higher detail for more accurate image description and analysis'), but it does not explicitly state when not to use it or name alternatives like the sibling 'fetch_iiif_image' tool for full images.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mikeapp/mcp-iiif-images'

If you have feedback or need assistance with the MCP directory API, please join our Discord server