Evaluate a C/C++ expression.
AI agents invoke gdb_evaluate_expression to trigger actions in Gdb Multiarch. 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.
GDB expression evaluation is not purely a read operation; it can call functions (like `gdb_call_function`), modify registers or memory, and cause the target process to execute code. In the context of debugging a running process (Nintendo Switch emulator or hardware), misuse could corrupt game state, trigger crashes, or execute arbitrary code paths. This goes beyond mere data retrieval and qualifies as Execute.
From the tool's definition Evaluate a C/C++ expression — expression evaluation in GDB can invoke functions, modify memory, and trigger side effects in the debugged process
Attacks that exploit this kind of access
Evaluate a C/C++ expression. It is categorised as a Execute tool in the Gdb Multiarch MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gdb Multiarch MCP server in PolicyLayer and add a rule for gdb_evaluate_expression: 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 Multiarch. Nothing to install.
gdb_evaluate_expression 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 gdb_evaluate_expression 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_evaluate_expression. 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_evaluate_expression is provided by the Gdb Multiarch MCP server (sbergeron42/gdb-multiarch-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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