convex_audit_diff

THE RISK

Low Risk

Why convex_audit_diff needs a policy

This tool reads and compares stored audit results to produce a diff report. It retrieves historical audit data and surfaces changes between runs — no data modification, execution, or deletion occurs. Similar to SonarQube diff views, it is a read/reporting operation.

From the tool's definition Compare the latest audit run against the previous run to show new issues, fixed issues, and trend direction

Documented attack patterns abuse exactly the kind of access convex_audit_diff gives an agent:

POLICY

How to control convex_audit_diff

PolicyLayer is an MCP gateway — it sits between your AI agents and Nodebench, and nothing reaches the server without passing your rules. This is the rule we recommend for convex_audit_diff:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "convex_audit_diff": {}
  }
}

convex_audit_diff is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Nodebench — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Nodebench tools

Destructive deeptrace_revoke_passport Revoke an agent Destructive delete_learning Delete a learning by key. Use when a learning is outdated or incorrect. Destructive delete_sandbox_policy Delete a sandbox policy. Fails if any active sessions are using it. Destructive deleteAgentMemory Delete stored memory by key Destructive share_revoke_packet_link Revoke a local share link so it no longer counts as active. Destructive unload_toolset Remove a dynamically loaded toolset from the current session to free up context. Cannot un Destructive abandon_cycle Abandon an active verification cycle that will not be completed. Use this to clean up orph Destructive cleanup_stale_runs Clean up orphaned eval runs stuck in

All 824 Nodebench tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about convex_audit_diff

What does the convex_audit_diff tool do? +

Compare the latest audit run against the previous run to show new issues, fixed issues, and trend direction (improving/stable/degrading). Like SonarQube. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on convex_audit_diff? +

Register the Nodebench MCP server in PolicyLayer and add a rule for convex_audit_diff: 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 convex_audit_diff? +

convex_audit_diff is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit convex_audit_diff? +

Yes. Add a rate_limit block to the convex_audit_diff 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 convex_audit_diff completely? +

Set action: deny in the PolicyLayer policy for convex_audit_diff. 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 convex_audit_diff? +

convex_audit_diff 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.

Enforce policy on every Nodebench tool call.

Start from Nodebench, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →