transkribus_model_remove_collection_by_id

Remove a collection from a model by model ID and collection ID.

SERVERTranskribus SOURCE@lazyants/transkribus-mcp-server

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-lazyants-transkribus/transkribus-model-remove-collection-by-id.md

WHAT IT DOES

What transkribus_model_remove_collection_by_id does on Transkribus

AI agents call transkribus_model_remove_collection_by_id to permanently remove resources in Transkribus, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why transkribus_model_remove_collection_by_id is rated Critical

The tool removes a collection association from a model, which is an irreversible deletion operation. Removing a collection from a model could result in loss of access or configuration that cannot be easily undone, making this Destructive. Severity is high because misuse could break model-collection associations affecting HTR/OCR workflows across potentially many documents.

From the tool's definition Remove a collection from a model by model ID and collection ID

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs transkribus_model_remove_collection_by_id safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Transkribus, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For transkribus_model_remove_collection_by_id, this is the rule to start with:

transkribus_model_remove_collection_by_id Hidden

transkribus_model_remove_collection_by_id is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "transkribus_model_remove_collection_by_id"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Transkribus, apply this rule, and every transkribus_model_remove_collection_by_id call is checked against it from then on.

FAQ

Questions about transkribus_model_remove_collection_by_id

What does the transkribus_model_remove_collection_by_id tool do? +

Remove a collection from a model by model ID and collection ID. It is categorised as a Destructive tool in the Transkribus MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on transkribus_model_remove_collection_by_id? +

Register the Transkribus MCP server in PolicyLayer and add a rule for transkribus_model_remove_collection_by_id: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Transkribus. Nothing to install.

What risk level is transkribus_model_remove_collection_by_id? +

transkribus_model_remove_collection_by_id is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit transkribus_model_remove_collection_by_id? +

Yes. Add a rate_limit block to the transkribus_model_remove_collection_by_id rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block transkribus_model_remove_collection_by_id completely? +

Set action: deny in the PolicyLayer policy for transkribus_model_remove_collection_by_id. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides transkribus_model_remove_collection_by_id? +

transkribus_model_remove_collection_by_id is provided by the Transkribus MCP server (@lazyants/transkribus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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