get_timeline_info
Get detailed information about the current timeline.
This record as markdown: /tools/hybridlabor-api-aos/get-timeline-info.md
What get_timeline_info does on Aos
AI agents call get_timeline_info to retrieve information from Aos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_timeline_info is rated Low
Retrieves timeline metadata without modifying or executing operations.
From the tool's definition Get detailed information about the current timeline.
Attacks that exploit this kind of access
The rule that runs get_timeline_info safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_timeline_info, this is the rule to start with:
get_timeline_info 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 Aos, apply this rule, and every get_timeline_info call is checked against it from then on.
Questions about get_timeline_info
Get detailed information about the current timeline. It is categorised as a Read tool in the Aos MCP Server, which means it retrieves data without modifying state.
Register the Aos MCP server in PolicyLayer and add a rule for get_timeline_info: 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 Aos. Nothing to install.
get_timeline_info 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 get_timeline_info 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 get_timeline_info. 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.
get_timeline_info is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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