get_timeline
Get a chronological feed of recent observations and project activity
This record as markdown: /tools/1999azzar-project-guardian-mcp-server/get-timeline.md
What get_timeline does on Project Guardian MCP
AI agents call get_timeline to retrieve information from Project Guardian MCP 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 is rated Low
Retrieves historical project data without modification or side effects.
From the tool's definition chronological feed of recent observations and project activity
Attacks that exploit this kind of access
The rule that runs get_timeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Project Guardian MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_timeline, this is the rule to start with:
get_timeline 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 Project Guardian MCP, apply this rule, and every get_timeline call is checked against it from then on.
Questions about get_timeline
Get a chronological feed of recent observations and project activity. It is categorised as a Read tool in the Project Guardian MCP MCP Server, which means it retrieves data without modifying state.
Register the Project Guardian MCP server in PolicyLayer and add a rule for get_timeline: 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 Project Guardian MCP. Nothing to install.
get_timeline 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 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. 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 is provided by the Project Guardian MCP server (1999azzar/project-guardian-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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