AI agents call reflux_decode to retrieve information from Sensory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs data retrieval and transformation (decoding SSTV audio, running OCR on images, extracting text). No side effects are created; no external operations are triggered; no data is written, deleted, or modified. The 'Gives small LLMs [something]' fragment suggests output generation for downstream consumption, reinforcing the read-only nature.
From the tool's definition Tool name 'reflux_decode' and description indicate a decoding operation: 'SSTV Audio → Image → OCR → Text'.
Attacks that exploit this kind of access
Complete REFLUX decode: SSTV Audio → Image → OCR → Text. Gives small LLMs. It is categorised as a Read tool in the Sensory MCP Server, which means it retrieves data without modifying state.
Register the Sensory MCP server in PolicyLayer and add a rule for reflux_decode: 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 Sensory. Nothing to install.
reflux_decode 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 reflux_decode 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 reflux_decode. 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.
reflux_decode is provided by the Sensory MCP server (jaspertvdm/mcp-server-sensory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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