delta_scan
Run a self-diligence market coverage scan. Produces a delta.market packet analyzing what NodeBench Delta covers well, what gaps exist, and what competitors are doing. The product eats its own dogfood.
This record as markdown: /tools/io-github-homenshum-nodebench/delta-scan.md
What delta_scan does on Nodebench
AI agents call delta_scan to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why delta_scan is rated Low
The tool scans and analyzes existing market data to produce informational packets—a read-only operation that retrieves and processes information without modifying, executing external commands, deleting data, or moving money. The analysis and reporting nature suggests passive data gathering rather than side effects.
From the tool's definition 'Run a self-diligence market coverage scan' and 'Produces a delta.market packet analyzing' indicate data retrieval and analysis operations that generate reports about market coverage, gaps, and competitor activities.
Attacks that exploit this kind of access
The rule that runs delta_scan 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 delta_scan, this is the rule to start with:
delta_scan is read-only, so it stays allowed. 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 delta_scan call is checked against it from then on.
Questions about delta_scan
Run a self-diligence market coverage scan. Produces a delta.market packet analyzing what NodeBench Delta covers well, what gaps exist, and what competitors are doing. The product eats its own dogfood. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for delta_scan: 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.
delta_scan is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the delta_scan 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 delta_scan. 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.
delta_scan 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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