transkribus_model_update

Update a model by posting updated model data.

SERVERTranskribus SOURCE@lazyants/transkribus-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-lazyants-transkribus/transkribus-model-update.md

WHAT IT DOES

What transkribus_model_update does on Transkribus

AI agents use transkribus_model_update to create or update resources in Transkribus, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Transkribus environment.

RISK

Why transkribus_model_update is rated Medium

This tool creates or modifies data reversibly. The update operation changes model state but does not delete, destroy, or execute arbitrary code. The blast radius is medium because incorrect model updates could affect downstream HTR/OCR operations or model availability for users, but the change is reversible (models can be re-updated).

From the tool's definition Tool name and description indicate 'Update a model by posting updated model data' — this modifies an existing model's configuration or metadata through a POST operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs transkribus_model_update 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_update, this is the rule to start with:

transkribus_model_update Rate-limited

transkribus_model_update stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "transkribus_model_update": {
      "limits": [
        {
          "counter": "transkribus_model_update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT 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_update call is checked against it from then on.

FAQ

Questions about transkribus_model_update

What does the transkribus_model_update tool do? +

Update a model by posting updated model data. It is categorised as a Write tool in the Transkribus MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on transkribus_model_update? +

Register the Transkribus MCP server in PolicyLayer and add a rule for transkribus_model_update: 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_update? +

transkribus_model_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit transkribus_model_update? +

Yes. Add a rate_limit block to the transkribus_model_update 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_update completely? +

Set action: deny in the PolicyLayer policy for transkribus_model_update. 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_update? +

transkribus_model_update 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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