generate_pr_report

SERVERNodebench SOURCEnodebench-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/generate-pr-report.md

WHAT IT DOES

What generate_pr_report does on Nodebench

AI agents use generate_pr_report 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.

RISK

Why generate_pr_report is rated Medium

This tool generates and returns a new markdown document (PR body) containing compiled information and metadata. It is Write rather than Read because it creates a structured output artifact with potential for modification of documentation and communication workflows.

From the tool's definition 'Generate a rich markdown PR body' — creates and returns structured markdown content that will be used as PR description; 'Compiles visual changes, timeline, bug fixes, design improvements, interaction test results, code review score, links, and dashboard…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs generate_pr_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 generate_pr_report, this is the rule to start with:

generate_pr_report Rate-limited

generate_pr_report 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_pr_report": {
      "limits": [
        {
          "counter": "generate_pr_report_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every generate_pr_report call is checked against it from then on.

FAQ

Questions about generate_pr_report

What does the generate_pr_report tool do? +

Generate a rich markdown PR body from a UI Dive session. Compiles visual changes (before/after screenshot comparisons), a unified timeline of all change events, bug fixes with severity badges, design improvements, interaction test results, code review score, links to past sessions, and a dashboard URL. Does NOT create the PR — returns the markdown and metadata for use with. 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.

How do I enforce a policy on generate_pr_report? +

Register the Nodebench MCP server in PolicyLayer and add a rule for generate_pr_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.

What risk level is generate_pr_report? +

generate_pr_report is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_pr_report? +

Yes. Add a rate_limit block to the generate_pr_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.

How do I block generate_pr_report completely? +

Set action: deny in the PolicyLayer policy for generate_pr_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.

What MCP server provides generate_pr_report? +

generate_pr_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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