transkribus_recog_update

Update a recognition model in a collection.

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-recog-update.md

WHAT IT DOES

What transkribus_recog_update does on Transkribus

AI agents use transkribus_recog_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_recog_update is rated Medium

This tool modifies an existing recognition model configuration or metadata within a collection. While the change is reversible (the model can be updated again or reverted), updating a recognition model could affect OCR/HTR processing results across documents using that model, creating potential downstream impact on dependent workflows.

From the tool's definition Tool name contains 'update' and description states 'Update a recognition model in a collection.' Update operations modify existing data reversibly.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs transkribus_recog_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_recog_update, this is the rule to start with:

transkribus_recog_update Rate-limited

transkribus_recog_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_recog_update": {
      "limits": [
        {
          "counter": "transkribus_recog_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_recog_update call is checked against it from then on.

FAQ

Questions about transkribus_recog_update

What does the transkribus_recog_update tool do? +

Update a recognition model in a collection. 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_recog_update? +

Register the Transkribus MCP server in PolicyLayer and add a rule for transkribus_recog_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_recog_update? +

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

Can I rate-limit transkribus_recog_update? +

Yes. Add a rate_limit block to the transkribus_recog_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_recog_update completely? +

Set action: deny in the PolicyLayer policy for transkribus_recog_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_recog_update? +

transkribus_recog_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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