sync_report

Push a report artifact from Claude Code into NodeBench AI. The report is saved locally and published as a shared-context packet for the web app to consume.

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/sync-report.md

WHAT IT DOES

What sync_report does on Nodebench

AI agents use sync_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 sync_report is rated Medium

The tool creates/saves a report artifact and publishes it as a shared-context packet. This is a write operation — it creates new data both locally and in the web app context. It does not delete or irreversibly overwrite data, execute code, or involve financial transactions. Severity is medium because it writes potentially sensitive report data to a shared context accessible by other systems/users.

From the tool's definition Push a report artifact...The report is saved locally and published as a shared-context packet

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sync_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 sync_report, this is the rule to start with:

sync_report Rate-limited

sync_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": {
    "sync_report": {
      "limits": [
        {
          "counter": "sync_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 sync_report call is checked against it from then on.

FAQ

Questions about sync_report

What does the sync_report tool do? +

Push a report artifact from Claude Code into NodeBench AI. The report is saved locally and published as a shared-context packet for the web app to consume. 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 sync_report? +

Register the Nodebench MCP server in PolicyLayer and add a rule for sync_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 sync_report? +

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

Can I rate-limit sync_report? +

Yes. Add a rate_limit block to the sync_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 sync_report completely? +

Set action: deny in the PolicyLayer policy for sync_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 sync_report? +

sync_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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