invoke_view_tool
Invoke a per-view tool on the current or specified view.
This record as markdown: /tools/io-github-homenshum-nodebench/invoke-view-tool.md
What invoke_view_tool does on Nodebench
AI agents invoke invoke_view_tool 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 invoke_view_tool is rated High
This tool triggers execution of other tools dynamically based on parameters. The ability to invoke arbitrary per-view tools on specified views represents code/command execution with effects that vary by what tools are invoked and on which views.
From the tool's definition Tool name 'invoke_view_tool' combined with description 'Invoke a per-view tool on the current or specified view' indicates execution of arbitrary tools on views.
Attacks that exploit this kind of access
The rule that runs invoke_view_tool 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 invoke_view_tool, this is the rule to start with:
invoke_view_tool 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 invoke_view_tool call is checked against it from then on.
Questions about invoke_view_tool
Invoke a per-view tool on the current or specified view. 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 invoke_view_tool: 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.
invoke_view_tool 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 invoke_view_tool 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 invoke_view_tool. 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.
invoke_view_tool 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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