convex_check_env_vars
Check that all environment variables referenced in Convex code (process.env.*) are defined in .env files. Identifies missing vars and suggests where to set them.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-check-env-vars.md
What convex_check_env_vars does on Nodebench
AI agents call convex_check_env_vars 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_check_env_vars is rated Low
This tool performs static analysis on Convex code and environment files to detect configuration issues. It retrieves and examines data (environment variable definitions) but does not create, modify, delete, or execute any code or external operations. The blast radius is minimal — at worst, incorrect suggestions could mislead developers, but the tool itself has no side effects on systems or data.
From the tool's definition Tool description states it 'Check[s] that all environment variables referenced in Convex code' and 'Identifies missing vars and suggests where to set them.' The verbs are 'check', 'identifies', and 'suggests' — all read-only operations that inspect code and…
Attacks that exploit this kind of access
The rule that runs convex_check_env_vars 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_check_env_vars, this is the rule to start with:
convex_check_env_vars 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_check_env_vars call is checked against it from then on.
Questions about convex_check_env_vars
Check that all environment variables referenced in Convex code (process.env.*) are defined in .env files. Identifies missing vars and suggests where to set them. 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_check_env_vars: 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_check_env_vars 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_check_env_vars 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_check_env_vars. 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_check_env_vars 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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