analyze_screenshot
Send a screenshot to a vision-capable AI model for analysis. Accepts base64 image data (from capture_ui_screenshot) and returns the model
This record as markdown: /tools/io-github-homenshum-nodebench/analyze-screenshot.md
What analyze_screenshot does on Nodebench
AI agents call analyze_screenshot 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 analyze_screenshot is rated Low
This tool retrieves and processes visual data for analysis purposes only. It queries a vision model for interpretation of screenshot content but does not modify data, execute code, delete resources, or commit financial transactions. The analysis is a read-only operation with no side effects on the system or data being analyzed.
From the tool's definition Tool description states it 'Send a screenshot to a vision-capable AI model for analysis' and 'returns the model' (response). The tool accepts base64 image data and performs analysis without modification or execution of external operations.
Attacks that exploit this kind of access
The rule that runs analyze_screenshot 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 analyze_screenshot, this is the rule to start with:
analyze_screenshot 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 analyze_screenshot call is checked against it from then on.
Questions about analyze_screenshot
Send a screenshot to a vision-capable AI model for analysis. Accepts base64 image data (from capture_ui_screenshot) and returns the model. 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 analyze_screenshot: 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.
analyze_screenshot 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 analyze_screenshot 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 analyze_screenshot. 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.
analyze_screenshot 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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