runSpotFixScan
Scan for common operational issues: stale missions, blocked tasks with met deps, old sniff checks.
This record as markdown: /tools/io-github-homenshum-nodebench/runspotfixscan.md
What runSpotFixScan does on Nodebench
AI agents invoke runSpotFixScan 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 runSpotFixScan is rated High
The tool executes a scanning operation that inspects system state and potentially marks or reports issues (stale missions, blocked tasks). While it does not destructively delete data or execute arbitrary code, it triggers an external operation ('scan') whose effects depend on the system being scanned.
From the tool's definition Tool name 'runSpotFixScan' contains 'run', and description indicates it 'Scan[s] for common operational issues' including stale missions, blocked tasks, and old checks.
Attacks that exploit this kind of access
The rule that runs runSpotFixScan 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 runSpotFixScan, this is the rule to start with:
runSpotFixScan 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 runSpotFixScan call is checked against it from then on.
Questions about runSpotFixScan
Scan for common operational issues: stale missions, blocked tasks with met deps, old sniff checks. 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 runSpotFixScan: 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.
runSpotFixScan 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 runSpotFixScan 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 runSpotFixScan. 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.
runSpotFixScan 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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