create_workout
Log a new workout. Optionally include sets inline.
This record as markdown: /tools/app-businys-mcp-server/create-workout.md
What create_workout does on Businys
AI agents use create_workout to create or update resources in Businys, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Businys environment.
Why create_workout is rated Medium
This tool creates a new workout entry in what appears to be a fitness tracking system. It performs a reversible write operation—the created workout can be modified, archived, or deleted later. There is no code execution, financial impact, or destructive capability. The blast radius of misuse is minimal (unwanted workout logs that can be removed).
From the tool's definition The tool name 'create_workout' and description 'Log a new workout. Optionally include sets inline.' indicate creation of a new data record without deletion or irreversible modification.
Attacks that exploit this kind of access
The rule that runs create_workout 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 create_workout, this is the rule to start with:
create_workout 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 Businys, apply this rule, and every create_workout call is checked against it from then on.
Questions about create_workout
Log a new workout. Optionally include sets inline. It is categorised as a Write tool in the Businys MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Businys MCP server in PolicyLayer and add a rule for create_workout: 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.
create_workout 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 create_workout 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 create_workout. 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.
create_workout 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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