Terminate a running background job.
AI agents use terminate_job to create or update resources in Aerobic Design MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Aerobic Design MCP Server environment.
An AI agent can call terminate_job faster than any human can review — one bad instruction and it creates or modifies resources in Aerobic Design MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Terminate a running background job. It is categorised as a Write tool in the Aerobic Design MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aerobic Design MCP Server MCP server in PolicyLayer and add a rule for terminate_job: 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 Aerobic Design MCP Server. Nothing to install.
terminate_job is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the terminate_job 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 terminate_job. 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.
terminate_job is provided by the Aerobic Design MCP Server MCP server (puran-water/aerobic-design-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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