read_image_ocr_text
Extract text from a local image (PNG/JPG/etc) using OCR (tesseract.js). Deterministic, no network.
This record as markdown: /tools/io-github-homenshum-nodebench/read-image-ocr-text.md
What read_image_ocr_text does on Nodebench
AI agents call read_image_ocr_text to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why read_image_ocr_text is rated Low
This is a pure read operation that retrieves optical character recognition data from image files. It modifies nothing, deletes nothing, executes no external commands or code, and involves no financial transactions. The local-only processing and lack of network access further confirm it has no external side effects. Low severity because misuse would only expose text content already present in provided images.
From the tool's definition Tool performs text extraction from local images using OCR (tesseract.js) with no network operations. The verb 'extract' and description 'no network' and 'deterministic' indicate it retrieves/queries data without side effects.
Attacks that exploit this kind of access
The rule that runs read_image_ocr_text safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For read_image_ocr_text, this is the rule to start with:
read_image_ocr_text 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 Nodebench, apply this rule, and every read_image_ocr_text call is checked against it from then on.
Questions about read_image_ocr_text
Extract text from a local image (PNG/JPG/etc) using OCR (tesseract.js). Deterministic, no network. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for read_image_ocr_text: 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 Nodebench. Nothing to install.
read_image_ocr_text 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 read_image_ocr_text 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 read_image_ocr_text. 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.
read_image_ocr_text is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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