nodebench.refresh_resource
Refresh a stale Nodebench resource URI and return updated metadata, freshness information, and emitted resource URIs.
This record as markdown: /tools/io-github-homenshum-nodebench/nodebench.refresh-resource.md
What nodebench.refresh_resource does on Nodebench
AI agents call nodebench.refresh_resource 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.refresh_resource is rated Low
This tool retrieves and returns updated information about a resource. While 'refresh' might suggest some state change, the description clarifies the actual behavior is fetching and returning metadata. There is no indication of data creation, modification, deletion, code execution, or financial operations. This is a straightforward read/query operation with minimal security risk.
From the tool's definition Tool description states it 'Refresh[es] a stale Nodebench resource URI and return[s] updated metadata, freshness information, and emitted resource URIs.' The verb 'refresh' and 'return' indicate retrieval of current data rather than creation, modification, or…
Attacks that exploit this kind of access
The rule that runs nodebench.refresh_resource 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.refresh_resource, this is the rule to start with:
nodebench.refresh_resource 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.refresh_resource call is checked against it from then on.
Questions about nodebench.refresh_resource
Refresh a stale Nodebench resource URI and return updated metadata, freshness information, and emitted resource URIs. 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.refresh_resource: 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.refresh_resource 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.refresh_resource 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.refresh_resource. 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.refresh_resource 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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