convex_suggest_indexes
Analyze query patterns across all Convex functions and suggest missing indexes. Scans for .query().filter() patterns and compares against defined indexes in schema.ts.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-suggest-indexes.md
What convex_suggest_indexes does on Nodebench
AI agents call convex_suggest_indexes 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_suggest_indexes is rated Low
This tool retrieves and analyzes data from Convex function queries and schema definitions to provide recommendations. The core action is read-only analysis with no side effects, data modification, or external command execution. The suggestion output is informational guidance, not an executable action.
From the tool's definition Tool description explicitly states 'Analyze query patterns' and 'Scans for' — these are passive inspection operations. The tool examines existing query patterns and schema definitions without modifying, deleting, or executing arbitrary code.
Attacks that exploit this kind of access
The rule that runs convex_suggest_indexes 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_suggest_indexes, this is the rule to start with:
convex_suggest_indexes 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_suggest_indexes call is checked against it from then on.
Questions about convex_suggest_indexes
Analyze query patterns across all Convex functions and suggest missing indexes. Scans for .query().filter() patterns and compares against defined indexes in schema.ts. 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_suggest_indexes: 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_suggest_indexes 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_suggest_indexes 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_suggest_indexes. 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_suggest_indexes 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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