convex_audit_query_efficiency

Audit Convex queries for efficiency issues: .collect() without limits (unbounded reads), .filter() without indexes (full table scans), mutations used for pure reads (losing reactivity), and .first() vs .unique() misuse.

SERVERNodebench SOURCEnodebench-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/convex-audit-query-efficiency.md

What convex_audit_query_efficiency does on Nodebench

AI agents call convex_audit_query_efficiency 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_query_efficiency is rated Low

This is a static analysis/audit tool that examines Convex query patterns to identify inefficiencies. It reads and analyzes code/query behavior but does not execute arbitrary queries, modify data, or trigger external operations. The worst case is identifying a performance issue in existing code, which is informational. The 'low' severity reflects minimal blast radius even if an agent receives incorrect audit results.

From the tool's definition Tool audits queries for efficiency issues (.collect() without limits, .filter() without indexes, mutations for reads, .first() vs .unique() misuse). It performs analysis and reporting without modifying data or executing mutations.

Questions about convex_audit_query_efficiency

What does the convex_audit_query_efficiency tool do? +

Audit Convex queries for efficiency issues: .collect() without limits (unbounded reads), .filter() without indexes (full table scans), mutations used for pure reads (losing reactivity), and .first() vs .unique() misuse. 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_query_efficiency? +

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

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

Can I rate-limit convex_audit_query_efficiency? +

Yes. Add a rate_limit block to the convex_audit_query_efficiency 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_query_efficiency completely? +

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

convex_audit_query_efficiency 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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