dive_design_issue
Tag a design inconsistency found during the dive. Covers visual problems like color mismatches, spacing deviations, font inconsistencies, alignment issues, contrast failures, responsive breakage, missing hover/focus states, and more. Link to a screenshot and the specific element. The agent uses b...
This record as markdown: /tools/io-github-homenshum-nodebench/dive-design-issue.md
What dive_design_issue does on Nodebench
AI agents use dive_design_issue 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_design_issue is rated Medium
This tool creates or modifies a tag/record documenting a design issue, which is a reversible write operation. It doesn't execute code or delete data (Destructive), but rather records metadata about design problems. Severity is medium because tagging issues in a design system affects documentation and workflow but has limited blast radius—mistakes can be corrected.
From the tool's definition Tag a design inconsistency found during the dive...Link to a screenshot and the specific element. The agent uses bridge
Attacks that exploit this kind of access
The rule that runs dive_design_issue 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_design_issue, this is the rule to start with:
dive_design_issue 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_design_issue call is checked against it from then on.
Questions about dive_design_issue
Tag a design inconsistency found during the dive. Covers visual problems like color mismatches, spacing deviations, font inconsistencies, alignment issues, contrast failures, responsive breakage, missing hover/focus states, and more. Link to a screenshot and the specific element. The agent uses bridge. 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_design_issue: 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_design_issue 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_design_issue 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_design_issue. 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_design_issue 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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