Skip to main content
Glama
lazyants

transkribus-mcp-server

by lazyants

Get Training Set

transkribus_recog_get_train_set
Read-onlyIdempotent

Retrieve the training set for a recognition model to review or validate the training data used.

Instructions

Get the training set for a recognition model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collIdYesCollection ID
idYesResource ID
nrOfTranscriptsNoNumber of transcripts
Behavior3/5

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

Annotations already declare the tool as read-only, non-destructive, idempotent, and open-world. The description adds no additional behavioral context, such as what a training set includes or how it is structured.

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 a single sentence with no wasted words. It is appropriately concise.

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 simple nature of the tool and the presence of annotations, the description is minimally adequate. However, it lacks information about return values or what constitutes a training set, which could be helpful given no output schema.

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 explains each parameter. The description offers no additional meaning beyond what the schema provides.

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 'Get the training set for a recognition model,' which clearly specifies the verb and resource. However, it does not distinguish from sibling tools like transkribus_recog_get_train_data or transkribus_model_get_train_data.

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?

There is no guidance on when to use this tool versus alternatives. No context about prerequisites or exclusions is provided.

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/lazyants/transkribus-mcp-server'

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