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.
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.
This tool performs automated validation and quality checks as part of a pre-deployment process, which constitutes code execution to evaluate system state and determine deployment eligibility. While non-destructive in itself, it runs programmatic checks and potentially triggers external audit/validation operations, placing it in the Execute category.
From the tool's definition 'Run a comprehensive pre-deployment quality gate' and 'Checks: convex/ directory structure, schema.ts validity, deprecated validator usage, auth configuration, recent audit results, and project initialization status' indicate the tool executes checks and…
Attacks that exploit this kind of access
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.