get_timeline_data
Per-ticket worked spans for the board
This record as markdown: /tools/ai-featureboard-featureboard/get-timeline-data.md
What get_timeline_data does on FeatureBoard
AI agents call get_timeline_data to retrieve information from FeatureBoard 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_data is rated Low
This tool retrieves historical timeline or time-tracking information about tickets—a query operation with no side effects. It does not create, modify, delete, or execute any operations; it simply surfaces existing data. The low severity reflects minimal risk if misused by an agent, as retrieving timeline data cannot damage or alter system state.
From the tool's definition Tool name 'get_timeline_data' with description 'Per-ticket worked spans for the board' indicates retrieval of temporal tracking data associated with tickets. The verb 'get' and absence of modification language confirm read-only behavior.
Attacks that exploit this kind of access
The rule that runs get_timeline_data safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_timeline_data, this is the rule to start with:
get_timeline_data 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 FeatureBoard, apply this rule, and every get_timeline_data call is checked against it from then on.
Questions about get_timeline_data
Per-ticket worked spans for the board. It is categorised as a Read tool in the FeatureBoard MCP Server, which means it retrieves data without modifying state.
Register the FeatureBoard MCP server in PolicyLayer and add a rule for get_timeline_data: 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 FeatureBoard. Nothing to install.
get_timeline_data 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_data 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_data. 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_data is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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