List all goals in your org created via the API. Filter by goal status (draft, in_progress, completed), claim status (unclaimed, claimed, expired, revoked), metadata tags, assigned learner email, or inactivity (at-risk detection). Use this to see all learner goals, check progress across a cohort, ...
AI agents call list_goals to retrieve information from Unfold It MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns existing goal information; it performs no create, modify, delete, or execute operations. The filtering parameters allow sophisticated querying but do not alter any data. The blast radius of misuse is limited to information disclosure about organizational goals and learner progress, which represents low severity risk.
From the tool's definition list_goals retrieves and queries goal data with filtering options (status, claim status, metadata tags, assigned learner email, inactivity detection).
Attacks that exploit this kind of access
List all goals in your org created via the API. Filter by goal status (draft, in_progress, completed), claim status (unclaimed, claimed, expired, revoked), metadata tags, assigned learner email, or inactivity (at-risk detection). Use this to see all learner goals, check progress across a cohort, find unused claim links, or identify learners who have gone inactive. For aggregate cohort metrics, use get_analytics instead. It is categorised as a Read tool in the Unfold It MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unfold It MCP Server MCP server in PolicyLayer and add a rule for list_goals: 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 Unfold It MCP Server. Nothing to install.
list_goals 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_goals 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_goals. 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_goals is provided by the Unfold It MCP Server MCP server (unfold-it/unfoldit-mcp-server). 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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