autopilot_log
Retrieve the autopilot event log. Shows enable/disable events, re-engagements, completions. Use when running long-horizon goals that should resume automatically across sessions — Claude Code has no native autonomous-loop scheduler. Pair with autopilot_enable + a goal description, then let cron fi...
This record as markdown: /tools/hamza-agent-hub-252/autopilot-log.md
What autopilot_log does on Hamza Agent Hub 252
AI agents call autopilot_log to retrieve information from Hamza Agent Hub 252 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why autopilot_log is rated Low
This tool retrieves and displays event log information for autonomous agent workflows. It is a read-only operation that queries existing log entries without modifying, deleting, or executing any operations. The primary use case described (monitoring long-horizon goals across sessions) is observational. No data is created, modified, or destroyed, and no external operations are triggered.
From the tool's definition Tool name 'autopilot_log' and description 'Retrieve the autopilot event log' explicitly indicates data retrieval with no side effects. Description specifies it 'Shows enable/disable events, re-engagements, completions' — purely querying historical log data.
Attacks that exploit this kind of access
The rule that runs autopilot_log safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autopilot_log, this is the rule to start with:
autopilot_log is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hamza Agent Hub 252, apply this rule, and every autopilot_log call is checked against it from then on.
Questions about autopilot_log
Retrieve the autopilot event log. Shows enable/disable events, re-engagements, completions. Use when running long-horizon goals that should resume automatically across sessions — Claude Code has no native autonomous-loop scheduler. Pair with autopilot_enable + a goal description, then let cron fires advance the work. For interactive single-task sessions, native Task is fine. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for autopilot_log: 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 Hamza Agent Hub 252. Nothing to install.
autopilot_log is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the autopilot_log 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 autopilot_log. 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.
autopilot_log is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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