disassemble
AI agents call disassemble to retrieve information from MCPEmulate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Disassembly is a read/analysis operation that inspects binary data and converts it to assembly mnemonics. It has no side effects and does not modify memory or execution state. The description is empty, lowering confidence slightly, but the tool name and server context strongly suggest a read-only analysis operation.
From the tool's definition Tool name 'disassemble' on a CPU emulation server with sibling tools like 'assemble', 'detect_arch', 'diff_memory' — disassembly converts binary machine code to human-readable assembly instructions.
Attacks that exploit this kind of access
disassemble. It is categorised as a Read tool in the MCPEmulate MCP Server, which means it retrieves data without modifying state.
Register the MCPEmulate MCP server in PolicyLayer and add a rule for disassemble: 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 MCPEmulate. Nothing to install.
disassemble 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 disassemble 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 disassemble. 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.
disassemble is provided by the MCPEmulate MCP server (labguy94/mcpemulate). 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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