This record as markdown: /tools/app-businys-mcp-server/workout-data.md
What workout_data does on Businys
AI agents call workout_data to retrieve information from Businys without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why workout_data is rated Low
This is a straightforward data retrieval tool that returns historical workout information. It has no side effects—it does not create, modify, delete, or execute anything. The blast radius of misuse is minimal; an attacker would only gain access to the user's own workout history, which is not financially sensitive, not destructive, and not executable. It fits clearly into the Read category.
From the tool's definition The tool name 'workout_data' and description 'JSON array of recent workouts with sets' indicate this tool retrieves or queries workout data.
Attacks that exploit this kind of access
The rule that runs workout_data safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Businys, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For workout_data, this is the rule to start with:
workout_data 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 Businys, apply this rule, and every workout_data call is checked against it from then on.
Questions about workout_data
JSON array of recent workouts with sets. It is categorised as a Read tool in the Businys MCP Server, which means it retrieves data without modifying state.
Register the Businys MCP server in PolicyLayer and add a rule for workout_data: 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 Businys. Nothing to install.
workout_data 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 workout_data 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 workout_data. 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.
workout_data is provided by the Businys MCP server (@businys/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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