Update run/swim pace zones.
AI agents use tp_update_speed_zones to create or update resources in TrainingPeaks-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TrainingPeaks-MCP environment.
This tool modifies user training data (pace zones for running/swimming) but does not delete, destroy, or execute arbitrary operations. Changes to pace zones are reversible and do not trigger external systems or financial transactions. The blast radius is moderate: incorrect pace zones could degrade training guidance quality, but the action is non-destructive and the user can correct it.
From the tool's definition Tool name 'tp_update_speed_zones' and description 'Update run/swim pace zones' indicate modification of existing training configuration data. The verb 'Update' signifies reversible alteration of pace zone settings.
Attacks that exploit this kind of access
Update run/swim pace zones. It is categorised as a Write tool in the TrainingPeaks-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TrainingPeaks- MCP server in PolicyLayer and add a rule for tp_update_speed_zones: 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_update_speed_zones 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 tp_update_speed_zones 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_update_speed_zones. 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_update_speed_zones 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.
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