convex_quality_gate
Run a configurable quality gate across all stored audit results. Like SonarQube
This record as markdown: /tools/io-github-homenshum-nodebench/convex-quality-gate.md
What convex_quality_gate does on Nodebench
AI agents invoke convex_quality_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_quality_gate is rated High
This tool runs (executes) a quality gate process with configurable parameters against stored audit data. While it does not create, modify, or delete data directly, it triggers an external operation whose outcome and side effects depend on the configuration passed to it—potentially affecting downstream processes, CI/CD pipelines, or deployment decisions.
From the tool's definition Tool name 'convex_quality_gate' and description 'Run a configurable quality gate' indicate execution of a quality gate process.
Attacks that exploit this kind of access
The rule that runs convex_quality_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_quality_gate, this is the rule to start with:
convex_quality_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_quality_gate call is checked against it from then on.
Questions about convex_quality_gate
Run a configurable quality gate across all stored audit results. Like SonarQube. 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_quality_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_quality_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_quality_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_quality_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_quality_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.
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