nodebench.context.pack
Return a compact context pack for a use case like job_match, interview_prep, sales_research, or product_intel. Apps should do private scoring locally.
This record as markdown: /tools/io-github-homenshum-nodebench/nodebench.context.pack.md
What nodebench.context.pack does on Nodebench
AI agents call nodebench.context.pack 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 nodebench.context.pack is rated Low
This tool retrieves or packages contextual information for specified use cases (job matching, interview prep, sales research, product intelligence). It is purely informational with no destructive, executable, or financial implications. The compact data returned is intended for local processing, confirming read-only behavior.
From the tool's definition Tool description states 'Return a compact context pack' — a retrieval operation. No modification, deletion, execution, or financial action is described. The mention of 'private scoring locally' reinforces that the tool only provides data without side effects.
Attacks that exploit this kind of access
The rule that runs nodebench.context.pack 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 nodebench.context.pack, this is the rule to start with:
nodebench.context.pack 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 nodebench.context.pack call is checked against it from then on.
Questions about nodebench.context.pack
Return a compact context pack for a use case like job_match, interview_prep, sales_research, or product_intel. Apps should do private scoring locally. 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 nodebench.context.pack: 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.
nodebench.context.pack 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 nodebench.context.pack 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 nodebench.context.pack. 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.
nodebench.context.pack 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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