dive_link_backend
Link a UI component to its backend dependencies. Connect components to API endpoints, Convex queries/mutations/actions, database tables, auth guards, WebSocket channels, or external services. This creates the full-stack traceability map — when a UI bug is found, you can immediately see which back...
This record as markdown: /tools/io-github-homenshum-nodebench/dive-link-backend.md
What dive_link_backend does on Nodebench
AI agents use dive_link_backend to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.
Why dive_link_backend is rated Medium
The tool 'creates' a traceability map by linking UI components to backend dependencies, which is a write/modification operation on a project's metadata or architecture model. It is not purely read (it creates associations), not destructive, and not financial. The blast radius is moderate — misuse could corrupt architectural mappings or traceability data, but it is reversible.
From the tool's definition Link a UI component to its backend dependencies... This creates the full-stack traceability map
Attacks that exploit this kind of access
The rule that runs dive_link_backend 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_link_backend, this is the rule to start with:
dive_link_backend stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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_link_backend call is checked against it from then on.
Questions about dive_link_backend
Link a UI component to its backend dependencies. Connect components to API endpoints, Convex queries/mutations/actions, database tables, auth guards, WebSocket channels, or external services. This creates the full-stack traceability map — when a UI bug is found, you can immediately see which backend code is involved. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nodebench MCP server in PolicyLayer and add a rule for dive_link_backend: 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_link_backend is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the dive_link_backend 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_link_backend. 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_link_backend 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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