list_sprints
List a board
This record as markdown: /tools/ai-featureboard-featureboard/list-sprints.md
What list_sprints does on FeatureBoard
AI agents call list_sprints 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 list_sprints is rated Low
This is a straightforward read operation that retrieves sprint information from a project board. No data is created, modified, deleted, or executed. The blast radius of misuse is minimal—an AI agent listing sprints cannot cause harm beyond potentially viewing information it shouldn't access, which is a read-level concern.
From the tool's definition Tool name 'list_sprints' and description 'List a board' indicate a retrieval operation with no side effects. This queries existing sprint/board data without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
The rule that runs list_sprints 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 list_sprints, this is the rule to start with:
list_sprints 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 list_sprints call is checked against it from then on.
Questions about list_sprints
List a 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 list_sprints: 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.
list_sprints 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 list_sprints 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 list_sprints. 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.
list_sprints 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.
More on FeatureBoard, and thousands of servers like it.
This server
Across the catalogue