This record as markdown: /tools/app-businys-mcp-server/add-workout-set.md
What add_workout_set does on Businys
AI agents use add_workout_set 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 add_workout_set is rated Medium
This tool modifies workout data in a reversible manner (sets can be deleted or edited), which is characteristic of Write operations. The severity is medium because misuse could result in incorrect workout data, but the impact is limited to personal fitness records that do not directly affect financial, security, or critical business operations.
From the tool's definition 'Add a new set to an existing workout' indicates the tool creates or modifies workout data by adding a new set record to a workout entity.
Attacks that exploit this kind of access
The rule that runs add_workout_set 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 add_workout_set, this is the rule to start with:
add_workout_set 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 add_workout_set call is checked against it from then on.
Questions about add_workout_set
Add a new set to an existing workout. 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 add_workout_set: 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.
add_workout_set 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 add_workout_set 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 add_workout_set. 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.
add_workout_set 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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