反汇编当前函数或指定地址范围。 参数: - start (可选): 起始地址 - end (可选): 结束地址 默认反汇编当前函数。
AI agents call gdb_disassemble to retrieve information from GDB MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and displays disassembled machine code from memory. It only inspects/retrieves data (assembly instructions) without modifying state, executing code, or causing side effects. Parameters are optional start/end addresses for the range to disassemble.
From the tool's definition 反汇编当前函数或指定地址范围 (Disassemble current function or specified address range)
Attacks that exploit this kind of access
反汇编当前函数或指定地址范围。 参数: - start (可选): 起始地址 - end (可选): 结束地址 默认反汇编当前函数。. It is categorised as a Read tool in the GDB MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GDB MCP Server MCP server in PolicyLayer and add a rule for gdb_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 GDB MCP Server. Nothing to install.
gdb_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 gdb_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 gdb_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.
gdb_disassemble is provided by the GDB MCP Server MCP server (zjm1060/gdb-mcp). 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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