AI agents call list_iterations to retrieve information from Scrumdo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves project iterations/sprints/milestones without creating, modifying, deleting, or executing anything. It poses minimal risk as misuse would only expose metadata about project structure, not enable destructive or financial actions.
From the tool's definition Tool name and description indicate it 'List all iterations' — a retrieval operation with no side effects. The verb 'list' is a canonical Read operation.
Attacks that exploit this kind of access
List all iterations (sprints / milestones) in the project. It is categorised as a Read tool in the Scrumdo MCP Server, which means it retrieves data without modifying state.
Register the Scrumdo MCP server in PolicyLayer and add a rule for list_iterations: 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 Scrumdo. Nothing to install.
list_iterations 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_iterations 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_iterations. 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_iterations is provided by the Scrumdo MCP server (scrumdollc/scrumdo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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