Relaunch a completed or failed AAP job.
AI agents invoke aap_relaunch_job to trigger actions in AAP MCP Server. 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 re-triggers execution of an Ansible automation job on the AAP platform. Launching jobs can execute arbitrary automation playbooks across enterprise infrastructure, making it an Execute category action with high severity due to the potential blast radius of running automation at scale.
From the tool's definition Relaunch a completed or failed AAP job
Attacks that exploit this kind of access
Relaunch a completed or failed AAP job. It is categorised as a Execute tool in the AAP MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AAP MCP Server MCP server in PolicyLayer and add a rule for aap_relaunch_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 AAP MCP Server. Nothing to install.
aap_relaunch_job 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 aap_relaunch_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 aap_relaunch_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.
aap_relaunch_job is provided by the AAP MCP Server MCP server (srinivassrinu842/aap-mcp-server). 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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