Terminate a running AI agent process by PID.
AI agents invoke kill_process to trigger actions in Agent Bridge. 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 executes a termination command on a background process, which is an external operation whose effects depend on the PID argument provided. While termination itself is irreversible in outcome (the process stops), the tool does not destroy persistent data or files—it halts execution. This makes it Execute rather than Destructive.
From the tool's definition Tool description states: 'Terminate a running AI agent process by PID.' The action of terminating a process is a direct execution of a system operation with immediate effects on running subprocesses.
Attacks that exploit this kind of access
Terminate a running AI agent process by PID. It is categorised as a Execute tool in the Agent Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Agent Bridge MCP server in PolicyLayer and add a rule for kill_process: 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 Agent Bridge. Nothing to install.
kill_process 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 kill_process 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 kill_process. 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.
kill_process is provided by the Agent Bridge MCP server (lailai258/agent-bridge-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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