transkribus_model_get_train_data_docs
Get the documents used as training data for a model.
This record as markdown: /tools/io-github-lazyants-transkribus/transkribus-model-get-train-data-docs.md
What transkribus_model_get_train_data_docs does on Transkribus
AI agents call transkribus_model_get_train_data_docs to retrieve information from Transkribus without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why transkribus_model_get_train_data_docs is rated Low
This tool retrieves metadata or references about which documents were used to train a model. It queries existing data without modifying, deleting, or executing operations. The blast radius of misuse is minimal—an attacker could learn what training data was used, but cannot alter it or trigger external operations. This is a straightforward Read operation.
From the tool's definition Tool name and description indicate retrieval of documents: 'Get the documents used as training data for a model.' The verb 'Get' and lack of modification language (create, update, delete) confirm read-only behavior.
Attacks that exploit this kind of access
The rule that runs transkribus_model_get_train_data_docs 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_get_train_data_docs, this is the rule to start with:
transkribus_model_get_train_data_docs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Transkribus, apply this rule, and every transkribus_model_get_train_data_docs call is checked against it from then on.
Questions about transkribus_model_get_train_data_docs
Get the documents used as training data for a model. It is categorised as a Read tool in the Transkribus MCP Server, which means it retrieves data without modifying state.
Register the Transkribus MCP server in PolicyLayer and add a rule for transkribus_model_get_train_data_docs: 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.
transkribus_model_get_train_data_docs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the transkribus_model_get_train_data_docs 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.
Set action: deny in the PolicyLayer policy for transkribus_model_get_train_data_docs. 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.
transkribus_model_get_train_data_docs 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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