Pause a running program.
AI agents invoke debug_pause to trigger actions in Polybugger. 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.
This tool sends a pause/interrupt signal to a running process, which is an external operation that affects program execution state. It's not purely reading data, nor does it delete anything, but it actively controls execution flow of a running program.
From the tool's definition Pause a running program
Attacks that exploit this kind of access
Pause a running program. It is categorised as a Execute tool in the Polybugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Polybugger MCP server in PolicyLayer and add a rule for debug_pause: 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 Polybugger. Nothing to install.
debug_pause 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 debug_pause 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 debug_pause. 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.
debug_pause is provided by the Polybugger MCP server (wilfoa/polybugger-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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