transkribus_pylaia_recognize
Run PyLaia HTR recognition on a document using a specific model.
This record as markdown: /tools/io-github-lazyants-transkribus/transkribus-pylaia-recognize.md
What transkribus_pylaia_recognize does on Transkribus
AI agents invoke transkribus_pylaia_recognize to trigger actions in Transkribus. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why transkribus_pylaia_recognize is rated High
This tool executes a machine learning pipeline (PyLaia HTR) on document data. Execution of such operations qualifies as Execute category because it triggers an external computational process whose effects (recognized text output, model state changes, resource consumption) depend on the document and model arguments provided.
From the tool's definition Tool name contains 'recognize' and description states 'Run PyLaia HTR recognition on a document using a specific model' — the verb 'Run' indicates execution of an external operation (Handwritten Text Recognition pipeline).
Attacks that exploit this kind of access
The rule that runs transkribus_pylaia_recognize 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_pylaia_recognize, this is the rule to start with:
transkribus_pylaia_recognize stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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_pylaia_recognize call is checked against it from then on.
Questions about transkribus_pylaia_recognize
Run PyLaia HTR recognition on a document using a specific model. It is categorised as a Execute tool in the Transkribus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Transkribus MCP server in PolicyLayer and add a rule for transkribus_pylaia_recognize: 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_pylaia_recognize is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the transkribus_pylaia_recognize 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_pylaia_recognize. 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_pylaia_recognize 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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