convex_audit_authorization
Audit Convex functions for authorization issues: public mutations/actions writing to DB without auth checks, getUserIdentity() without null checks, sensitive-named functions without auth, and unprotected user data queries.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-audit-authorization.md
What convex_audit_authorization does on Nodebench
AI agents call convex_audit_authorization to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why convex_audit_authorization is rated Low
The tool performs static analysis/auditing of code to identify authorization vulnerabilities. It reads and inspects Convex functions rather than executing or modifying them. Severity is medium because the audit itself may expose sensitive architectural details about authentication gaps, though it causes no direct side effects.
From the tool's definition Audit Convex functions for authorization issues... public mutations/actions writing to DB without auth checks, getUserIdentity() without null checks, sensitive-named functions without auth, and unprotected user data queries
Attacks that exploit this kind of access
The rule that runs convex_audit_authorization 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 convex_audit_authorization, this is the rule to start with:
convex_audit_authorization is read-only, so it stays allowed. 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 convex_audit_authorization call is checked against it from then on.
Questions about convex_audit_authorization
Audit Convex functions for authorization issues: public mutations/actions writing to DB without auth checks, getUserIdentity() without null checks, sensitive-named functions without auth, and unprotected user data queries. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for convex_audit_authorization: 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.
convex_audit_authorization is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the convex_audit_authorization 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 convex_audit_authorization. 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.
convex_audit_authorization 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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