dive_walkthrough
Generate a comprehensive page-by-page, component-by-component walkthrough document for a dive session. Includes: route map with source files, component tree, interaction test results with pass/fail per step, screenshots referenced at each point, design issues found, backend dependencies, console ...
This record as markdown: /tools/io-github-homenshum-nodebench/dive-walkthrough.md
What dive_walkthrough does on Nodebench
AI agents call dive_walkthrough 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 dive_walkthrough is rated Low
This tool aggregates and presents existing test/QA data in document form. It is a read operation that synthesizes information from a dive session without modifying underlying data, executing code, or triggering external side effects. The output is a report/document for human or agent review, which is a classic Read pattern. Severity is low because the output is informational only.
From the tool's definition Tool generates a 'comprehensive walkthrough document' and 'final deliverable — a complete QA document that an agent or human can review'. Key verbs: 'generate', 'includes', 'referenced'.
Attacks that exploit this kind of access
The rule that runs dive_walkthrough 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 dive_walkthrough, this is the rule to start with:
dive_walkthrough 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 dive_walkthrough call is checked against it from then on.
Questions about dive_walkthrough
Generate a comprehensive page-by-page, component-by-component walkthrough document for a dive session. Includes: route map with source files, component tree, interaction test results with pass/fail per step, screenshots referenced at each point, design issues found, backend dependencies, console errors, and changelog entries. This is the final deliverable — a complete QA document that an agent or human can review. 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 dive_walkthrough: 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.
dive_walkthrough 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 dive_walkthrough 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 dive_walkthrough. 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.
dive_walkthrough 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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