Get the A-priority focus event with goals and results.
AI agents call tp_get_focus_event to retrieve information from TrainingPeaks-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries fitness event data (focus event details including goals and results). It has no side effects, does not create, modify, delete, or execute any operations. It is a straightforward data retrieval operation consistent with the 'Read' category. Severity is low because unauthorized access to a user's fitness event data has minimal blast radius.
From the tool's definition Tool name 'get_focus_event' uses 'get' verb indicating retrieval. Description states 'Get the A-priority focus event with goals and results' - a pure query operation that retrieves existing event data without modification.
Attacks that exploit this kind of access
Get the A-priority focus event with goals and results. It is categorised as a Read tool in the TrainingPeaks-MCP MCP Server, which means it retrieves data without modifying state.
Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_get_focus_event: 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 TrainingPeaks-MCP. Nothing to install.
tp_get_focus_event 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 tp_get_focus_event 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 tp_get_focus_event. 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.
tp_get_focus_event is provided by the TrainingPeaks- MCP server (jamsusmaximus/trainingpeaks-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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