run_quality_gate
Evaluate content or code against a set of boolean rules. Returns pass/fail with specific failures listed. The agent evaluates each rule and passes boolean results — the tool persists and aggregates.
This record as markdown: /tools/io-github-homenshum-nodebench/run-quality-gate.md
What run_quality_gate does on Nodebench
AI agents invoke run_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 run_quality_gate is rated High
This tool runs rule-evaluation logic that both computes results and persists/aggregates state. Although the output is boolean (pass/fail), the combination of execution ('evaluates each rule'), persistence, and aggregation of state means it performs operations whose effects depend on rule inputs and targets. This goes beyond passive read (which would only retrieve or query).
From the tool's definition 'Evaluate content or code against a set of boolean rules' and 'persists and aggregates' results—the tool executes rule evaluation logic with side effects (persistence of aggregated state).
Attacks that exploit this kind of access
The rule that runs run_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 run_quality_gate, this is the rule to start with:
run_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 run_quality_gate call is checked against it from then on.
Questions about run_quality_gate
Evaluate content or code against a set of boolean rules. Returns pass/fail with specific failures listed. The agent evaluates each rule and passes boolean results — the tool persists and aggregates. 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 run_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.
run_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 run_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 run_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.
run_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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