This record as markdown: /tools/94aharris-coach-ai/set-goal.md
What set_goal does on Coach AI
AI agents use set_goal to create or update resources in Coach AI, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Coach AI environment.
Why set_goal is rated Medium
Setting a goal creates or modifies user data reversibly. It is a Write operation with low severity because misuse would merely create unwanted goals that can be deleted or modified by the user, causing minimal harm in a ADHD-support coaching context.
From the tool's definition Tool name 'set_goal' and description 'Set a new goal' indicate creation of new data without irreversible deletion, code execution, or financial impact.
Attacks that exploit this kind of access
The rule that runs set_goal 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 set_goal, this is the rule to start with:
set_goal stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 set_goal call is checked against it from then on.
Questions about set_goal
Set a new goal. It is categorised as a Write tool in the Coach AI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Coach AI MCP server in PolicyLayer and add a rule for set_goal: 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.
set_goal is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_goal 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 set_goal. 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.
set_goal 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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