get_dive_report
Generate a comprehensive UI/UX Full Dive report for a session. Includes: executive summary, component tree, all bugs grouped by severity, per-component interaction traces, Mermaid diagram, and actionable recommendations. Optionally marks the session as completed. This is the final deliverable aft...
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What get_dive_report does on Nodebench
AI agents call get_dive_report 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 get_dive_report is rated Low
This tool generates and returns a report document synthesizing UI/UX analysis results. While it 'optionally marks the session as completed', this is metadata state management on the session itself, not destructive or external-facing. The core function retrieves, aggregates, and formats data—classic Read behavior. No code execution, financial impact, or irreversible deletion occurs.
From the tool's definition The tool 'Generate a comprehensive UI/UX Full Dive report' is described as producing a report based on completed session data. Key verbs: 'Generate', 'includes', 'marks... as completed'.
Attacks that exploit this kind of access
The rule that runs get_dive_report 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 get_dive_report, this is the rule to start with:
get_dive_report 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 get_dive_report call is checked against it from then on.
Questions about get_dive_report
Generate a comprehensive UI/UX Full Dive report for a session. Includes: executive summary, component tree, all bugs grouped by severity, per-component interaction traces, Mermaid diagram, and actionable recommendations. Optionally marks the session as completed. This is the final deliverable after all subagents have finished their traversals. 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 get_dive_report: 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.
get_dive_report 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 get_dive_report 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 get_dive_report. 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.
get_dive_report 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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