convex_bootstrap_project
Scan a Convex project directory and generate a comprehensive health report. Checks: schema presence, function count, validator coverage, index usage, env vars, auth setup, and known gotchas. Returns a prioritized improvement plan.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-bootstrap-project.md
What convex_bootstrap_project does on Nodebench
AI agents call convex_bootstrap_project 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_bootstrap_project is rated Low
The tool scans/reads a project directory and generates a report with improvement suggestions. It checks for presence of files and configurations but does not modify, execute, or delete anything. The output is informational (health report + improvement plan), making this a Read category tool.
From the tool's definition Scan a Convex project directory and generate a comprehensive health report... Returns a prioritized improvement plan.
Attacks that exploit this kind of access
The rule that runs convex_bootstrap_project 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_bootstrap_project, this is the rule to start with:
convex_bootstrap_project 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_bootstrap_project call is checked against it from then on.
Questions about convex_bootstrap_project
Scan a Convex project directory and generate a comprehensive health report. Checks: schema presence, function count, validator coverage, index usage, env vars, auth setup, and known gotchas. Returns a prioritized improvement plan. 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_bootstrap_project: 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_bootstrap_project 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_bootstrap_project 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_bootstrap_project. 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_bootstrap_project 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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