View recent workouts, log a new workout, or get a weekly summary by activity.
AI agents use workouts to create or update resources in Personal Brain — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Personal Brain environment.
The tool spans both Read and Write operations. Since it can log (create) new workout entries in addition to viewing existing ones, Write is the appropriate category as it is more severe than Read. The blast radius is medium — misuse could result in incorrect health/fitness data being recorded, but this is reversible personal data with no financial or destructive implications.
From the tool's definition 'log a new workout' indicates creating/writing new data; 'view recent workouts' and 'get a weekly summary' are read operations
Attacks that exploit this kind of access
View recent workouts, log a new workout, or get a weekly summary by activity. It is categorised as a Write tool in the Personal Brain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Personal Brain MCP server in PolicyLayer and add a rule for workouts: 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 Personal Brain. Nothing to install.
workouts 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 workouts 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 workouts. 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.
workouts is provided by the Personal Brain MCP server (phantomts/personal-brain-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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