This record as markdown: /tools/94aharris-coach-ai/list-goals.md
What list_goals does on Coach AI
AI agents call list_goals to retrieve information from Coach AI without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_goals is rated Low
This tool queries and returns existing goal data without creating, modifying, or deleting any information. It has no side effects and presents minimal risk if misused by an AI agent—the worst case would be disclosure of the user's existing goals, which is a read-only concern. The persistence memory system mentioned in the server description stores user data, but this tool only accesses it passively.
From the tool's definition Tool name 'list_goals' and description 'List all goals' indicate a retrieval operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
The rule that runs list_goals safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Coach AI, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_goals, this is the rule to start with:
list_goals 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 Coach AI, apply this rule, and every list_goals call is checked against it from then on.
Questions about list_goals
List all goals. It is categorised as a Read tool in the Coach AI MCP Server, which means it retrieves data without modifying state.
Register the Coach AI 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 Coach AI. 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 Coach AI MCP server (94aharris/coach-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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