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lazyants

transkribus-mcp-server

by lazyants

Add Model to Collection

transkribus_recog_add_to_collection

Add a recognition model to a target collection, enabling its use across different Transkribus collections.

Instructions

Add a recognition model to another collection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collIdYesCollection ID
idYesResource ID
targetCollIdYesTarget collection ID to add the model to
Behavior2/5

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

The description adds no behavioral context beyond the annotations. With annotations providing readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, the description merely restates the purpose without explaining side effects, auth needs, or what 'add' entails (copy vs. link).

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 that is front-loaded and contains no extraneous words. It is appropriately concise for a simple operation.

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

Completeness2/5

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

For a tool with 3 parameters and no output schema, the description lacks context about return values, error behavior, and how it relates to similar sibling tools. This incomplete information may hinder an agent's correct usage.

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 input schema already clearly describes each parameter. The description adds no extra 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 clearly states the action (Add) and the resource (recognition model) and target (collection). It is specific enough to distinguish from generic model tools, though it does not explicitly differentiate from sibling tools like transkribus_model_add_collection.

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?

No guidance on when to use this tool versus siblings such as transkribus_model_add_collection or transkribus_recog_remove_from_collection. No prerequisites or conditions are mentioned.

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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