convex_pre_deploy_gate
Run a comprehensive pre-deployment quality gate. Checks: convex/ directory structure, schema.ts validity, deprecated validator usage, auth configuration, recent audit results, and project initialization status. Returns pass/fail with specific blockers.
This record as markdown: /tools/io-github-homenshum-nodebench/convex-pre-deploy-gate.md
What convex_pre_deploy_gate does on Nodebench
AI agents invoke convex_pre_deploy_gate to trigger actions in Nodebench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why convex_pre_deploy_gate is rated High
The tool performs automated checks and validations across multiple deployment-critical areas (directory structure, schema validity, auth config, audit results). While primarily informational (returning pass/fail status), it executes a defined quality gate procedure that could gate or ungate deployments. This is more than passive Read (which would only retrieve existing data) because it actively runs validation logic.
From the tool's definition Tool runs a comprehensive pre-deployment quality gate that performs checks (schema validation, configuration analysis, audit review).
Attacks that exploit this kind of access
The rule that runs convex_pre_deploy_gate 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_pre_deploy_gate, this is the rule to start with:
convex_pre_deploy_gate stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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_pre_deploy_gate call is checked against it from then on.
Questions about convex_pre_deploy_gate
Run a comprehensive pre-deployment quality gate. Checks: convex/ directory structure, schema.ts validity, deprecated validator usage, auth configuration, recent audit results, and project initialization status. Returns pass/fail with specific blockers. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for convex_pre_deploy_gate: 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_pre_deploy_gate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the convex_pre_deploy_gate 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_pre_deploy_gate. 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_pre_deploy_gate 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.
More on Nodebench, and thousands of servers like it.
Across the catalogue