wasm_agent_prompt
Send a prompt to a WASM agent and get a response. Use when native Task is wrong because the workload needs sandboxed isolation — untrusted code execution, browser-side run, deterministic replay. Pair with wasm_gallery_search to find a published agent, or wasm_agent_create to scaffold a fresh one....
This record as markdown: /tools/ruflo/wasm-agent-prompt.md
What wasm_agent_prompt does on Ruflo
AI agents invoke wasm_agent_prompt to trigger actions in Ruflo. 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 wasm_agent_prompt is rated High
This tool executes arbitrary prompts against WASM agents, which are described as capable of handling 'untrusted code execution' scenarios. While sandboxed, execution tools that run code (even in isolation) present high risk if an AI agent sends malicious or unintended prompts. The blast radius includes computational resource consumption, data exfiltration from the sandbox, and potential sandbox escape vectors.
From the tool's definition Send a prompt to a WASM agent and get a response...untrusted code execution, browser-side run, deterministic replay. The tool explicitly mentions 'untrusted code execution' and triggers agent operations in a sandboxed environment.
Attacks that exploit this kind of access
The rule that runs wasm_agent_prompt safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wasm_agent_prompt, this is the rule to start with:
wasm_agent_prompt 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 Ruflo, apply this rule, and every wasm_agent_prompt call is checked against it from then on.
Questions about wasm_agent_prompt
Send a prompt to a WASM agent and get a response. Use when native Task is wrong because the workload needs sandboxed isolation — untrusted code execution, browser-side run, deterministic replay. Pair with wasm_gallery_search to find a published agent, or wasm_agent_create to scaffold a fresh one. For trusted in-process work, native Task is fine. It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ruflo MCP server in PolicyLayer and add a rule for wasm_agent_prompt: 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 Ruflo. Nothing to install.
wasm_agent_prompt 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 wasm_agent_prompt 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 wasm_agent_prompt. 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.
wasm_agent_prompt is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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