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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
logging
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_imagesB

List image files in a specified directory.

read_imageA

Reads a specific image file and returns its content as base64.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 2 tools

Disambiguation5/5

list_images and read_image are clearly distinct: one discovers images in a directory, the other retrieves the content of a specific image. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tool names follow a verb_noun pattern (list_images, read_image), using snake_case consistently. The naming is predictable and easy to infer.

Tool Count3/5

With only two tools, the server feels minimal, which is borderline for a tool set. However, for an image reader, listing and reading are the essential operations, so the count is appropriate for the narrow scope, but still falls into the 'thin' category.

Completeness5/5

The server's purpose is to read images, and it provides the two core operations: enumerating available images and reading a specific one. There are no obvious gaps for this use case; it covers the full lifecycle of reading (discover then retrieve).

Maintenance

ActivityInactive
ResponsivenessNo issues