Read the full internal state of a WASM agent (messages, turn count, config, stop status). Use when native Task is wrong because the agent runs in a sandboxed WASM runtime whose internal conversation history is not directly accessible from the host process.
AI agents call wasm_agent_state to retrieve information from Ruflo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves internal agent state information from a WASM runtime sandbox. While it is a Read operation (no data modification), the severity is medium rather than low because accessing internal agent state could expose sensitive conversation history, configuration details, or system prompts that an AI agent might misuse if applied to unauthorized agents.
From the tool's definition Tool description explicitly states 'Read the full internal state' and mentions accessing 'messages, turn count, config, stop status' — all data retrieval operations with no modification or side effects.
Attacks that exploit this kind of access
Read the full internal state of a WASM agent (messages, turn count, config, stop status). Use when native Task is wrong because the agent runs in a sandboxed WASM runtime whose internal conversation history is not directly accessible from the host process. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.
Register the Ruflo MCP server in PolicyLayer and add a rule for wasm_agent_state: 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_state 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 wasm_agent_state 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_state. 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_state 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.
wasm_agent_state is one line of Ruflo's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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