gdb_context · Gdb MCP: Risk & Policy

WHAT IT DOES

What gdb_context does on Gdb

AI agents invoke gdb_context to trigger actions in Gdb. 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.

WHY IT NEEDS A POLICY

Why gdb_context needs a policy

While gdb_context itself is primarily a Read operation (retrieving debugging context), it operates within an Execute-capable environment (GDB debugger control). The tool enables an AI agent to inspect running processes and make informed decisions for further execution. Classification as Execute reflects that in practice, this tool chains with GDB's execution capabilities to enable arbitrary process control.

From the tool's definition The tool 'gdb_context' provides access to registers, instruction pointers, stack memory, and backtrace information from a running debugger process.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gdb_context Rate-limited

gdb_context stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gdb_context": {
      "limits": [
        {
          "counter": "gdb_context_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Gdb, so you can run agents against it safely.

FAQ

Questions about gdb_context

What does the gdb_context tool do? +

Return registers, instruction, stack, backtrace, breakpoints, and remote context. It is categorised as a Execute tool in the Gdb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on gdb_context? +

Register the Gdb MCP server in PolicyLayer and add a rule for gdb_context: 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. Nothing to install.

What risk level is gdb_context? +

gdb_context is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit gdb_context? +

Yes. Add a rate_limit block to the gdb_context 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.

How do I block gdb_context completely? +

Set action: deny in the PolicyLayer policy for gdb_context. 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.

What MCP server provides gdb_context? +

gdb_context is provided by the Gdb MCP server (traver88/gdb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.